Xyratex SC13 Podcast

•Download as PPTX, PDF•

0 likes•1,175 views

This document introduces new features of the ClusterStor 9000 storage solution that improve productivity for high-performance computing (HPC) and big data workloads. The key updates include a 50% performance increase over previous generations, new reliability features like ClusterStor RAID and T10 data integrity, and efficiency gains from technologies like flash acceleration and object storage consolidation. The ClusterStor 9000 is positioned as the engineered storage solution that delivers the fastest performance, most robust reliability, and highest efficiency to meet customer demands across industries like engineering, finance, and life sciences.

Technology Business

FAST - 1st to Deliver Sustained 1 TB/s
New: Up to 60+ GB/s per Rack – 50% faster!
RELIABLE - Lowest Disk Failure Rate
New: ClusterStor RAID up to 400% faster MTTR!
EFFICIENT - Highest Efficiency Per Drive
New: 33% less power for the same performance!

* Contrast to previous generation

Scaling Significantly Above Sustained 1 TB/s
Throughput

First to Exceed
Sustained 1 TB/s
NEW – Announcing
ClusterStor™ 9000

ClusterStor 9000

ClusterStor 6000
ClusterStor 1500

Capacity

Fastest Time to Results at Any Scale

ClusterStor Grid RAID
ClusterStor
RAID

Up to 400% faster
rebuild time

Traditional RAID Rebuild Time
RAID Rebuild Time

Mandatory to effectively implement high
capacity drives and solutions

Grid RAID delivers up
to 400% faster
rebuild time

Consolidates 4 to1
reduction in Object
Storage Targets

Puts Productivity into HPC Storage
The Fast, Reliable and Efficient
Engineered Solution
for HPC and Big Data
•

Built-in reliability and availability

•

Engineering

Finance

Genomics

Energy

Defense

Delivers fastest, mature
and proven Lustre® solution

•

Pharmacology

Smartest, most efficient capabilities

Announcing
ClusterStor™ 9000
and New Features

Announcing ClusterStor™ 9000
Engineered to Perform
ClusterStor
Manager

ClusterStor Manager 1.4
• Enhanced management visibility
• Simple click through to problem FRU
Lustre 2.5
Bullet-Proof
• Multiple metadata managers
Lustre
• Imperative recovery
• HSM support
ClusterStor Operating System
ClusterStor OS
• ClusterStor RAID
• Flash Accelerator
• CIFS / NFS Gateway
High Efficiency
• T10 DIF Type 2
Platform
ClusterStor Platform
• Now 50% Faster

Announcing ClusterStor™ 9000
Engineered Solution for HPC and Big Data
• Now 50% faster than previous generation
• Up to 9 GB/s per 5U-84 Scalable Storage Unit
• Leverages latest Lustre® capabilities

• Industry’s only engineered solution optimized
for All Three Customer Mandates…
• End-to-End Speed
• Enterprise Bullet Proof Reliability
• Clear Industry Leading Efficiency by Wide Margin
ClusterStor 9000

Extending Total Solution Productivity
NEW - Solutions to
improve availability
and reliability
•
•

ClusterStor RAID
Data Integrity
Enhancements
T10 DIF Type 2

NEW – Greater efficiency,
workflow consolidation
and productivity
•
•
•
•

ClusterStor Flash Accelerator
ClusterStor CIFS / NFS Gateway
Enhanced Management Visibility
Latest Lustre® Capabilities

ClusterStor delivers superior
productivity, investment
protection and ROI results
• Extending linear performance

Pharmacology

Engineering

Finance

Genomics

Energy

Defense

• Powerful robustness and reliability tools
• Unmatched production proven efficiency

High Performance Redis looks at a wide range of techniques - from programming to system tuning - to deploy and maintain an extremely high performing Redis cluster. From the operational perspective, the talk lays out multiple techniques for clustering (sharding) Redis systems and examines how the different approaches impact performance time. The talk further examines system settings (Linux network parameters, Redis system) and how they impact performance (both good and bad). Finally, for the developer, we look at how different ways of structuring data actually demonstrate different performance characteristics

Percona Live 4/14/15: Leveraging open stack cinder for peak application perfo...

Tesora

Big data analytics and docker the thrilla in manila

Dean Hildebrand

Open Stack Cheng Du Swift Alex Yang

OpenCity Community

OpenNebula TechDay Boston 2015 - Bringing Private Cloud Computing to HPC and ...

OpenNebula Project

Kubernetes User Group: 維運 Kubernetes 的兩三事

smalltown

Container Orchestration 之爭已經落幕，Kubernetes 成為主流，AWS, Azure 跟 GCP 都已提出相對應的解決方案，但該選擇廠商所提供的服務或是自己架設呢？如何把 Stateless 甚至是 Stateful 應用服務運行於其上呢？部署應用程式到 Kubernetes 之中該如何做比較好？本分享談及多次在公司導入及維運 Kubernetes 的相關經驗，讓有興趣或是剛使用的人可以減少摸索的時間

OpenNebula TechDay Boston 2015 - HA HPC with OpenNebula

OpenNebula Project

OpenStack!

철민 홍

Red Hat Storage Day Seattle: Why Software-Defined Storage Matters

Red_Hat_Storage

[OpenStack Day in Korea 2015] Track 3-1 - OpenStack Storage Infrastructure & ...

OpenStack Korea Community

CEPH technical analysis 2014Erwan Quigna

OpenStack Momentumopenstackindia

Ceph Day Beijing: Experience Sharing and OpenStack and Ceph Integration

Ceph Community

OpenStack : Linux User Group meetupAtul Jha

Ceph Day Shanghai - Opening

Ceph Community

Expanding Adoption and Access to Next Generation of HPC Storage Utilizing Int...

Intel IT Center

TechTarget Event - Storage Architectures for the Modern Data Centre – Martin ...

NetApp

Red Hat Storage Day LA - Supermicro SuperStorage

Red_Hat_Storage

Infraestructura oracleFran Navarro

Seagate SC15 Announcements for HPC

inside-BigData.com

In this video from SC15, Larry Jones from Seagate provides an overview of the company's revamped HPC storage product line. At SC15, Seagate announced a major expansion of its HPC product portfolio including the ClusterStor HPC hard disk drive designed for Big Data applications. Learn more: http://www.seagate.com/products/enterprise-servers-storage/enterprise-storage-systems/clustered-file-systems/ Watch the video presentation: http://wp.me/p3RLHQ-eMC Sign up for our insideHPC Newsletter

S016827 pendulum-swings-nola-v1710d

Tony Pearson

Gain Storage Control with SIOC and Take Performance Control with QoS from Sol...

NetApp

What's hot

HIgh Performance Redis- Tague Griffith, GoPro

Redis Labs

Percona Live 4/14/15: Leveraging open stack cinder for peak application perfo...

Tesora

Big data analytics and docker the thrilla in manila

Dean Hildebrand

Open Stack Cheng Du Swift Alex Yang

OpenCity Community

OpenNebula TechDay Boston 2015 - Bringing Private Cloud Computing to HPC and ...

OpenNebula Project

Kubernetes User Group: 維運 Kubernetes 的兩三事

smalltown

OpenNebula TechDay Boston 2015 - HA HPC with OpenNebula

OpenNebula Project

OpenStack!

철민 홍

Red Hat Storage Day Seattle: Why Software-Defined Storage Matters

Red_Hat_Storage

[OpenStack Day in Korea 2015] Track 3-1 - OpenStack Storage Infrastructure & ...

OpenStack Korea Community

CEPH technical analysis 2014Erwan Quigna

OpenStack Momentumopenstackindia

Ceph Day Beijing: Experience Sharing and OpenStack and Ceph Integration

Ceph Community

OpenStack : Linux User Group meetupAtul Jha

Ceph Day Shanghai - Opening

Ceph Community

What's hot (15)

HIgh Performance Redis- Tague Griffith, GoPro

Percona Live 4/14/15: Leveraging open stack cinder for peak application perfo...

Big data analytics and docker the thrilla in manila

Open Stack Cheng Du Swift Alex Yang

OpenNebula TechDay Boston 2015 - Bringing Private Cloud Computing to HPC and ...

Kubernetes User Group: 維運 Kubernetes 的兩三事

OpenNebula TechDay Boston 2015 - HA HPC with OpenNebula

OpenStack!

Red Hat Storage Day Seattle: Why Software-Defined Storage Matters

[OpenStack Day in Korea 2015] Track 3-1 - OpenStack Storage Infrastructure & ...

CEPH technical analysis 2014

OpenStack Momentum

Ceph Day Beijing: Experience Sharing and OpenStack and Ceph Integration

OpenStack : Linux User Group meetup

Ceph Day Shanghai - Opening

Similar to Xyratex SC13 Podcast

Expanding Adoption and Access to Next Generation of HPC Storage Utilizing Int...

Intel IT Center

TechTarget Event - Storage Architectures for the Modern Data Centre – Martin ...

NetApp

Red Hat Storage Day LA - Supermicro SuperStorage

Red_Hat_Storage

Infraestructura oracleFran Navarro

Seagate SC15 Announcements for HPC

inside-BigData.com

S016827 pendulum-swings-nola-v1710d

Tony Pearson

Gain Storage Control with SIOC and Take Performance Control with QoS from Sol...

NetApp

Introducing StorNext5 and Lattus

inside-BigData.com

In this presentation, Skip Levens from Quantum describes the company StorNext5 family of Appliances and Quantum Lattus Object Storage for Big Data management. "For customers who need to retain and access hundreds of terabytes of unstructured data, Quantum Lattus Object Storage is a self-healing, self-protecting private cloud solution that enables more efficient primary storage usage, delivers extreme archive data resiliency and protection, and offers low latency disk access to archive data. Compared to RAID or tape storage, Lattus Object Storage provides the most effective solution on a cost/performance basis for active access, retention and protection of unstructured data in large archive environments." Learn more: http://www.quantum.com/products/bigdatamanagement/index.aspx Watch the video presentation: http://inside-bigdata.com/2013/12/12/introducing-stornext5-appliances/

Red Hat Storage Day New York - QCT: Avoid the mess, deploy with a validated s...

Red_Hat_Storage

MISYS-KL - Cintra Optimized Oracle Archiecture Solution and Services 1.1.pdf

ssuserd5e338

Consolidate your enterprise workloads without creating new performance constr...

NetApp

In this presentation by SolidFire's vExpert Jeramiah Dooley, you will learn about how consolidating workloads onto a single platform can be the crucial missing step as VMware customers transition from a legacy architecture into a Software Defined Data Center. Storage has become the boat anchor of the modern, virtualized data center. Up until recently it has been slow, unpredictable, inflexible, required far too much operational overhead and was sized, deployed and managed using methods created in the 1980s. Worst of all, storage capacity and performance are often still locked together in fixed ratios, making it inevitable that even the best run storage environment will be wasteful and inefficient as you consolidate your applications. But it doesn’t have to be this way. The technology and know-how exists to have storage be a predictable, flexible, and easily managed part of an overall virtualized platform designed to provide the performance and availability that today’s end user workloads demand.

What’s New in Assure MIMIX 10

Precisely

Assure MIMIX, the leader in IBM i high availability and disaster recovery, keeps your mission-critical business applications running continuously and protects your data from loss. Precisely has recently delivered a new release of Assure MIMIX 10. This new release Assure includes even better support for IBM i customers operating in Cloud, Hosting and Managed Service Ecosystems. Assure MIMIX 10 provides a new simplified pricing and licensing model built to support the needs of today’s IBM i systems whether they are on-premises or in the cloud. In addition, there are several new capabilities that are designed to make Assure MIMIX an even better solution for IBM i users needing a powerful HA solution. Join us on this on-demand webinar to learn about the new Assure MIMIX 10 licensing changes as well as: - Faster, more intelligent synchronization - Automated configuration capabilities - Enhanced recovery operations

Pillar axiom 600 technical presentation

xKinAnx

Flash Arrays Enable the Next Generation Data Center

NetApp

Sirius ibm storage & platform computing solutions 080515 eh

Eric Herzog

Ibm and Erb's Presentation Insider's Edition Event . September 2010

Erb's Marketing

Supermicro Servers with Micron DDR5 & SSDs: Accelerating Real World Workloads

Rebekah Rodriguez

With the recent announcements from Intel and Supermicro, we are seeing a number of new systems that support exciting new technologies and which provide a scalable foundation for the data center of the future. These systems also deliver significant benefits to meet today's real-world problems and help to optimize existing HPC and business applications. Realizing these benefits demands innovations in performance, cost management, and integration. It is not one company's problem to solve but an ecosystem that can collaborate and configure the right solutions to meet today's needs. Please join Supermicro and Micron to learn about their close collaboration, the roles of Supermicro X13 systems and DDR5 memory to meet these requirements, and learn about the results we are seeing today.

OpenStack at the speed of business with SolidFire & Red Hat

NetApp

Databases love nutanix

NEXTtour

Using next gen storage in Cloudstack

ShapeBlue

Similar to Xyratex SC13 Podcast (20)

Expanding Adoption and Access to Next Generation of HPC Storage Utilizing Int...

TechTarget Event - Storage Architectures for the Modern Data Centre – Martin ...

Red Hat Storage Day LA - Supermicro SuperStorage

Infraestructura oracle

Seagate SC15 Announcements for HPC

S016827 pendulum-swings-nola-v1710d

Gain Storage Control with SIOC and Take Performance Control with QoS from Sol...

Introducing StorNext5 and Lattus

Red Hat Storage Day New York - QCT: Avoid the mess, deploy with a validated s...

MISYS-KL - Cintra Optimized Oracle Archiecture Solution and Services 1.1.pdf

Consolidate your enterprise workloads without creating new performance constr...

What’s New in Assure MIMIX 10

Pillar axiom 600 technical presentation

Flash Arrays Enable the Next Generation Data Center

Sirius ibm storage & platform computing solutions 080515 eh

Ibm and Erb's Presentation Insider's Edition Event . September 2010

Supermicro Servers with Micron DDR5 & SSDs: Accelerating Real World Workloads

OpenStack at the speed of business with SolidFire & Red Hat

Databases love nutanix

Using next gen storage in Cloudstack

More from inside-BigData.com

Major Market Shifts in IT

inside-BigData.com

In this deck from the Stanford HPC Conference, Shahin Khan from OrionX describes major market Shifts in IT. "We will discuss the digital infrastructure of the future enterprise and the state of these trends." "We work with clients on the impact of Digital Transformation (DX) on them, their customers, and their messages. Generally, they want to track, in one place, trends like IoT, 5G, AI, Blockchain, and Quantum Computing. And they want to know what these trends mean, how they affect each other, and when they demand action, and how to formulate and execute an effective plan. If that describes you, we can help." Watch the video: https://wp.me/p3RLHQ-lPP Learn more: http://orionx.net and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Preparing to program Aurora at Exascale - Early experiences and future direct...

inside-BigData.com

In this deck from IWOCL / SYCLcon 2020, Hal Finkel from Argonne National Laboratory presents: Preparing to program Aurora at Exascale - Early experiences and future directions. "Argonne National Laboratory’s Leadership Computing Facility will be home to Aurora, our first exascale supercomputer. Aurora promises to take scientific computing to a whole new level, and scientists and engineers from many different fields will take advantage of Aurora’s unprecedented computational capabilities to push the boundaries of human knowledge. In addition, Aurora’s support for advanced machine-learning and big-data computations will enable scientific workflows incorporating these techniques along with traditional HPC algorithms. Programming the state-of-the-art hardware in Aurora will be accomplished using state-of-the-art programming models. Some of these models, such as OpenMP, are long-established in the HPC ecosystem. Other models, such as Intel’s oneAPI, based on SYCL, are relatively-new models constructed with the benefit of significant experience. Many applications will not use these models directly, but rather, will use C++ abstraction libraries such as Kokkos or RAJA. Python will also be a common entry point to high-performance capabilities. As we look toward the future, features in the C++ standard itself will become increasingly relevant for accessing the extreme parallelism of exascale platforms. This presentation will summarize the experiences of our team as we prepare for Aurora, exploring how to port applications to Aurora’s architecture and programming models, and distilling the challenges and best practices we’ve developed to date. oneAPI/SYCL and OpenMP are both critical models in these efforts, and while the ecosystem for Aurora has yet to mature, we’ve already had a great deal of success. Importantly, we are not passive recipients of programming models developed by others. Our team works not only with vendor-provided compilers and tools, but also develops improved open-source LLVM-based technologies that feed both open-source and vendor-provided capabilities. In addition, we actively participate in the standardization of OpenMP, SYCL, and C++. To conclude, I’ll share our thoughts on how these models can best develop in the future to support exascale-class systems." Watch the video: https://wp.me/p3RLHQ-lPT Learn more: https://www.iwocl.org/iwocl-2020/conference-program/ and https://www.anl.gov/topic/aurora Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Transforming Private 5G Networks

inside-BigData.com

In this deck, Greg Wahl from Advantech presents: Transforming Private 5G Networks. Advantech Networks & Communications Group is driving innovation in next-generation network solutions with their High Performance Servers. We provide business critical hardware to the world's leading telecom and networking equipment manufacturers with both standard and customized products. Our High Performance Servers are highly configurable platforms designed to balance the best in x86 server-class processing performance with maximum I/O and offload density. The systems are cost effective, highly available and optimized to meet next generation networking and media processing needs. “Advantech’s Networks and Communication Group has been both an innovator and trusted enabling partner in the telecommunications and network security markets for over a decade, designing and manufacturing products for OEMs that accelerate their network platform evolution and time to market.” Said Advantech Vice President of Networks & Communications Group, Ween Niu. “In the new IP Infrastructure era, we will be expanding our expertise in Software Defined Networking (SDN) and Network Function Virtualization (NFV), two of the essential conduits to 5G infrastructure agility making networks easier to install, secure, automate and manage in a cloud-based infrastructure.” In addition to innovation in air interface technologies and architecture extensions, 5G will also need a new generation of network computing platforms to run the emerging software defined infrastructure, one that provides greater topology flexibility, essential to deliver on the promises of high availability, high coverage, low latency and high bandwidth connections. This will open up new parallel industry opportunities through dedicated 5G network slices reserved for specific industries dedicated to video traffic, augmented reality, IoT, connected cars etc. 5G unlocks many new doors and one of the keys to its enablement lies in the elasticity and flexibility of the underlying infrastructure. Advantech’s corporate vision is to enable an intelligent planet. The company is a global leader in the fields of IoT intelligent systems and embedded platforms. To embrace the trends of IoT, big data, and artificial intelligence, Advantech promotes IoT hardware and software solutions with the Edge Intelligence WISE-PaaS core to assist business partners and clients in connecting their industrial chains. Advantech is also working with business partners to co-create business ecosystems that accelerate the goal of industrial intelligence." Watch the video: https://wp.me/p3RLHQ-lPQ * Company website: https://www.advantech.com/ * Solution page: https://www2.advantech.com/nc/newsletter/NCG/SKY/benefits.html Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

The Incorporation of Machine Learning into Scientific Simulations at Lawrence...

inside-BigData.com

In this deck from the Stanford HPC Conference, Katie Lewis from Lawrence Livermore National Laboratory presents: The Incorporation of Machine Learning into Scientific Simulations at Lawrence Livermore National Laboratory. "Scientific simulations have driven computing at Lawrence Livermore National Laboratory (LLNL) for decades. During that time, we have seen significant changes in hardware, tools, and algorithms. Today, data science, including machine learning, is one of the fastest growing areas of computing, and LLNL is investing in hardware, applications, and algorithms in this space. While the use of simulations to focus and understand experiments is well accepted in our community, machine learning brings new challenges that need to be addressed. I will explore applications for machine learning in scientific simulations that are showing promising results and further investigation that is needed to better understand its usefulness." Watch the video: https://youtu.be/NVwmvCWpZ6Y Learn more: https://computing.llnl.gov/research-area/machine-learning and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...

inside-BigData.com

In this deck from the Stanford HPC Conference, DK Panda from Ohio State University presents: How to Achieve High-Performance, Scalable and Distributed DNN Training on Modern HPC Systems? "This talk will start with an overview of challenges being faced by the AI community to achieve high-performance, scalable and distributed DNN training on Modern HPC systems with both scale-up and scale-out strategies. After that, the talk will focus on a range of solutions being carried out in my group to address these challenges. The solutions will include: 1) MPI-driven Deep Learning, 2) Co-designing Deep Learning Stacks with High-Performance MPI, 3) Out-of- core DNN training, and 4) Hybrid (Data and Model) parallelism. Case studies to accelerate DNN training with popular frameworks like TensorFlow, PyTorch, MXNet and Caffe on modern HPC systems will be presented." Watch the video: https://youtu.be/LeUNoKZVuwQ Learn more: http://web.cse.ohio-state.edu/~panda.2/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...

inside-BigData.com

In this deck from the Stanford HPC Conference, Nick Nystrom and Paola Buitrago provide an update from the Pittsburgh Supercomputing Center. Nick Nystrom is Chief Scientist at the Pittsburgh Supercomputing Center (PSC). Nick is architect and PI for Bridges, PSC's flagship system that successfully pioneered the convergence of HPC, AI, and Big Data. He is also PI for the NIH Human Biomolecular Atlas Program’s HIVE Infrastructure Component and co-PI for projects that bring emerging AI technologies to research (Open Compass), apply machine learning to biomedical data for breast and lung cancer (Big Data for Better Health), and identify causal relationships in biomedical big data (the Center for Causal Discovery, an NIH Big Data to Knowledge Center of Excellence). His current research interests include hardware and software architecture, applications of machine learning to multimodal data (particularly for the life sciences) and to enhance simulation, and graph analytics. Watch the video: https://youtu.be/LWEU1L1o7yY Learn more: https://www.psc.edu/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

HPC Impact: EDA Telemetry Neural Networks

inside-BigData.com

In this deck from the Stanford HPC Conference, Ryan Quick from Providentia Worldwide describes how DNNs can be used to improve EDA simulation runs. "Systems Intelligence relies on a variety of methods for providing insight into the core mechanisms for driving automated behavioral changes in self-healing command and control platforms. This talk reports on initial efforts with leveraging Semiconductor Electronic Design Automation (EDA) telemetry data from cross-domain sources including power, network, storage, nodes, and applications in neural networks as a driving method for insight into SI automation systems." Watch the video: https://youtu.be/2WbR8tq-XbM Learn more: http://www.providentiaworldwide.com/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring

inside-BigData.com

In this deck from the Stanford HPC Conference, Nicole Xu from Stanford University describes how she transformed a common jellyfish into a bionic creature that is part animal and part machine. "Animal locomotion and bioinspiration have the potential to expand the performance capabilities of robots, but current implementations are limited. Mechanical soft robots leverage engineered materials and are highly controllable, but these biomimetic robots consume more power than corresponding animal counterparts. Biological soft robots from a bottom-up approach offer advantages such as speed and controllability but are limited to survival in cell media. Instead, biohybrid robots that comprise live animals and self- contained microelectronic systems leverage the animals’ own metabolism to reduce power constraints and body as an natural scaffold with damage tolerance. We demonstrate that by integrating onboard microelectronics into live jellyfish, we can enhance propulsion up to threefold, using only 10 mW of external power input to the microelectronics and at only a twofold increase in cost of transport to the animal. This robotic system uses 10 to 1000 times less external power per mass than existing swimming robots in literature and can be used in future applications for ocean monitoring to track environmental changes." Watch the video: https://youtu.be/HrmJFyvInj8 Learn more: https://sanfrancisco.cbslocal.com/2020/02/05/stanford-research-project-common-jellyfish-bionic-sea-creatures/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Machine Learning for Weather Forecasts

inside-BigData.com

In this deck from the Stanford HPC Conference, Peter Dueben from the European Centre for Medium-Range Weather Forecasts (ECMWF) presents: Machine Learning for Weather Forecasts. "I will present recent studies that use deep learning to learn the equations of motion of the atmosphere, to emulate model components of weather forecast models and to enhance usability of weather forecasts. I will than talk about the main challenges for the application of deep learning in cutting-edge weather forecasts and suggest approaches to improve usability in the future." Peter is contributing to the development and optimization of weather and climate models for modern supercomputers. He is focusing on a better understanding of model error and model uncertainty, on the use of reduced numerical precision that is optimised for a given level of model error, on global cloud- resolving simulations with ECMWF's forecast model, and the use of machine learning, and in particular deep learning, to improve the workflow and predictions. Peter has graduated in Physics and wrote his PhD thesis at the Max Planck Institute for Meteorology in Germany. He worked as Postdoc with Tim Palmer at the University of Oxford and has taken up a position as University Research Fellow of the Royal Society at the European Centre for Medium-Range Weather Forecasts (ECMWF) in 2017. Watch the video: https://youtu.be/ks3fkRj8Iqc Learn more: https://www.ecmwf.int/ and http://www.hpcadvisorycouncil.com/events/2020/stanford-workshop/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

HPC AI Advisory Council Update

inside-BigData.com

In this deck, Gilad Shainer from the HPC AI Advisory Council describes how this organization fosters innovation in the high performance computing community. "The HPC-AI Advisory Council’s mission is to bridge the gap between high-performance computing (HPC) and Artificial Intelligence (AI) use and its potential, bring the beneficial capabilities of HPC and AI to new users for better research, education, innovation and product manufacturing, bring users the expertise needed to operate HPC and AI systems, provide application designers with the tools needed to enable parallel computing, and to strengthen the qualification and integration of HPC and AI system products." Watch the video: https://wp.me/p3RLHQ-lNz Learn more: http://hpcadvisorycouncil.com Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Fugaku Supercomputer joins fight against COVID-19

inside-BigData.com

Today RIKEN in Japan announced that the Fugaku supercomputer will be made available for research projects aimed to combat COVID-19. "Fugaku is currently being installed and is scheduled to be available to the public in 2021. However, faced with the devastating disaster unfolding before our eyes, RIKEN and MEXT decided to make a portion of the computational resources of Fugaku available for COVID-19-related projects ahead of schedule while continuing the installation process. Fugaku is being developed not only for the progress in science, but also to help build the society dubbed as the “Society 5.0” by the Japanese government, where all people will live safe and comfortable lives. The current initiative to fight against the novel coronavirus is driven by the philosophy behind the development of Fugaku." Initial Projects Exploring new drug candidates for COVID-19 by "Fugaku" Yasushi Okuno, RIKEN / Kyoto University Prediction of conformational dynamics of proteins on the surface of SARS-Cov-2 using Fugaku Yuji Sugita, RIKEN Simulation analysis of pandemic phenomena Nobuyasu Ito, RIKEN Fragment molecular orbital calculations for COVID-19 proteins Yuji Mochizuki, Rikkyo University

Energy Efficient Computing using Dynamic Tuning

inside-BigData.com

In this deck from the Performance Optimisation and Productivity group, Lubomir Riha from IT4Innovations presents: Energy Efficient Computing using Dynamic Tuning. "We now live in a world of power-constrained architectures and systems and power consumption represents a significant cost factor in the overall HPC system economy. For these reasons, in recent years researchers, supercomputing centers and major vendors have developed new tools and methodologies to measure and optimize the energy consumption of large-scale high performance system installations. Due to the link between energy consumption, power consumption and execution time of an application executed by the final user, it is important for these tools and the methodology used to consider all these aspects, empowering the final user and the system administrator with the capability of finding the best configuration given different high level objectives. This webinar focused on tools designed to improve the energy-efficiency of HPC applications using a methodology of dynamic tuning of HPC applications, developed under the H2020 READEX project. The READEX methodology has been designed for exploiting the dynamic behaviour of software. At design time, different runtime situations (RTS) are detected and optimized system configurations are determined. RTSs with the same configuration are grouped into scenarios, forming the tuning model. At runtime, the tuning model is used to switch system configurations dynamically. The MERIC tool, that implements the READEX methodology, is presented. It supports manual or binary instrumentation of the analysed applications to simplify the analysis. This instrumentation is used to identify and annotate the significant regions in the HPC application. Automatic binary instrumentation annotates regions with significant runtime. Manual instrumentation, which can be combined with automatic, allows code developer to annotate regions of particular interest." Watch the video: https://wp.me/p3RLHQ-lJP Learn more: https://pop-coe.eu/blog/14th-pop-webinar-energy-efficient-computing-using-dynamic-tuning and https://code.it4i.cz/vys0053/meric Sign up for our insideHPC Newsletter: http://insidehpc.com/newslett

HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD

inside-BigData.com

In this deck from GTC Digital, William Beaudin from DDN presents: HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD. Enabling high performance computing through the use of GPUs requires an incredible amount of IO to sustain application performance. We'll cover architectures that enable extremely scalable applications through the use of NVIDIA’s SuperPOD and DDN’s A3I systems. The NVIDIA DGX SuperPOD is a first-of-its-kind artificial intelligence (AI) supercomputing infrastructure. DDN A³I with the EXA5 parallel file system is a turnkey, AI data storage infrastructure for rapid deployment, featuring faster performance, effortless scale, and simplified operations through deeper integration. The combined solution delivers groundbreaking performance, deploys in weeks as a fully integrated system, and is designed to solve the world's most challenging AI problems. Watch the video: https://wp.me/p3RLHQ-lIV Learn more: https://www.ddn.com/download/nvidia-superpod-ddn-a3i-ai400-appliance-with-the-exa5-filesystem/ and https://www.nvidia.com/en-us/gtc/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

State of ARM-based HPC

inside-BigData.com

In this deck, Paul Isaacs from Linaro presents: State of ARM-based HPC. This talk provides an overview of applications and infrastructure services successfully ported to Aarch64 and benefiting from scale. "With its debut on the TOP500, the 125,000-core Astra supercomputer at New Mexico’s Sandia Labs uses Cavium ThunderX2 chips to mark Arm’s entry into the petascale world. In Japan, the Fujitsu A64FX Arm-based CPU in the pending Fugaku supercomputer has been optimized to achieve high-level, real-world application performance, anticipating up to one hundred times the application execution performance of the K computer. K was the first computer to top 10 petaflops in 2011." Watch the video: https://wp.me/p3RLHQ-lIT Learn more: https://www.linaro.org/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Versal Premium ACAP for Network and Cloud Acceleration

inside-BigData.com

Today Xilinx announced Versal Premium, the third series in the Versal ACAP portfolio. The Versal Premium series features highly integrated, networked and power-optimized cores and the industry’s highest bandwidth and compute density on an adaptable platform. Versal Premium is designed for the highest bandwidth networks operating in thermally and spatially constrained environments, as well as for cloud providers who need scalable, adaptable application acceleration. Versal is the industry’s first adaptive compute acceleration platform (ACAP), a revolutionary new category of heterogeneous compute devices with capabilities that far exceed those of conventional silicon architectures. Developed on TSMC’s 7-nanometer process technology, Versal Premium combines software programmability with dynamically configurable hardware acceleration and pre-engineered connectivity and security features to enable a faster time-to- market. The Versal Premium series delivers up to 3X higher throughput compared to current generation FPGAs, with built-in Ethernet, Interlaken, and cryptographic engines that enable fast and secure networks. The series doubles the compute density of currently deployed mainstream FPGAs and provides the adaptability to keep pace with increasingly diverse and evolving cloud and networking workloads. Learn more: https://insidehpc.com/2020/03/xilinx-announces-versal-premium-acap-for-network-and-cloud-acceleration/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

inside-BigData.com

In this video from the Rice Oil & Gas Conference, Chin Fang from Zettar presents: Moving Massive Amounts of Data across Any Distance Efficiently. The objective of this talk is to present two on-going projects aiming at improving and ensuring highly efficient bulk transferring or streaming of massive amounts of data over digital connections across any distance. It examines the current state of the art, a few very common misconceptions, the differences among the three major type of data movement solutions, a current initiative attempting to improve the data movement efficiency from the ground up, and another multi-stage project that shows how to conduct long distance large scale data movement at speed and scale internationally. Both projects have real world motivations, e.g. the ambitious data transfer requirements of Linac Coherent Light Source II (LCLS-II) [1], a premier preparation project of the U.S. DOE Exascale Computing Initiative (ECI) [2]. Their immediate goals are described and explained, together with the solution used for each. Findings and early results are reported. Possible future works are outlined. Watch the video: https://wp.me/p3RLHQ-lBX Learn more: https://www.zettar.com/ and https://rice2020oghpc.rice.edu/program-2/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Scaling TCO in a Post Moore's Era

inside-BigData.com

In this deck from the Rice Oil & Gas Conference, Bradley McCredie from AMD presents: Scaling TCO in a Post Moore's Law Era. "While foundries bravely drive forward to overcome the technical and economic challenges posed by scaling to 5nm and beyond, Moore’s law alone can provide only a fraction of the performance / watt and performance / dollar gains needed to satisfy the demands of today’s high performance computing and artificial intelligence applications. To close the gap, multiple strategies are required. First, new levels of innovation and design efficiency will supplement technology gains to continue to deliver meaningful improvements in SoC performance. Second, heterogenous compute architectures will create x-factor increases of performance efficiency for the most critical applications. Finally, open software frameworks, APIs, and toolsets will enable broad ecosystems of application level innovation." Watch the video: Learn more: http://amd.com and https://rice2020oghpc.rice.edu/program-2/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

CUDA-Python and RAPIDS for blazing fast scientific computing

inside-BigData.com

In this deck from the ECSS Symposium, Abe Stern from NVIDIA presents: CUDA-Python and RAPIDS for blazing fast scientific computing. "We will introduce Numba and RAPIDS for GPU programming in Python. Numba allows us to write just-in-time compiled CUDA code in Python, giving us easy access to the power of GPUs from a powerful high-level language. RAPIDS is a suite of tools with a Python interface for machine learning and dataframe operations. Together, Numba and RAPIDS represent a potent set of tools for rapid prototyping, development, and analysis for scientific computing. We will cover the basics of each library and go over simple examples to get users started. Finally, we will briefly highlight several other relevant libraries for GPU programming." Watch the video: https://wp.me/p3RLHQ-lvu Learn more: https://developer.nvidia.com/rapids and https://www.xsede.org/for-users/ecss/ecss-symposium Sign up for our insideHPC Newsletter: http://insidehp.com/newsletter

Introducing HPC with a Raspberry Pi Cluster

inside-BigData.com

In this deck from FOSDEM 2020, Colin Sauze from Aberystwyth University describes the development of a RaspberryPi cluster for teaching an introduction to HPC. "The motivation for this was to overcome four key problems faced by new HPC users: * The availability of a real HPC system and the effect running training courses can have on the real system, conversely the availability of spare resources on the real system can cause problems for the training course. * A fear of using a large and expensive HPC system for the first time and worries that doing something wrong might damage the system. * That HPC systems are very abstract systems sitting in data centres that users never see, it is difficult for them to understand exactly what it is they are using. * That new users fail to understand resource limitations, in part because of the vast resources in modern HPC systems a lot of mistakes can be made before running out of resources. A more resource constrained system makes it easier to understand this. The talk will also discuss some of the technical challenges in deploying an HPC environment to a Raspberry Pi and attempts to keep that environment as close to a "real" HPC as possible. The issue to trying to automate the installation process will also be covered." Learn more: https://github.com/colinsauze/pi_cluster and https://fosdem.org/2020/schedule/events/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

Overview of HPC Interconnects

inside-BigData.com

In this deck from ATPESC 2019, Ken Raffenetti from Argonne presents an overview of HPC interconnects. "The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future." Watch the video: https://wp.me/p3RLHQ-luc Learn more: https://extremecomputingtraining.anl.gov/ Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter

More from inside-BigData.com (20)

Major Market Shifts in IT

Preparing to program Aurora at Exascale - Early experiences and future direct...

Transforming Private 5G Networks

The Incorporation of Machine Learning into Scientific Simulations at Lawrence...

How to Achieve High-Performance, Scalable and Distributed DNN Training on Mod...

Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze ...

HPC Impact: EDA Telemetry Neural Networks

Biohybrid Robotic Jellyfish for Future Applications in Ocean Monitoring

Machine Learning for Weather Forecasts

HPC AI Advisory Council Update

Fugaku Supercomputer joins fight against COVID-19

Energy Efficient Computing using Dynamic Tuning

HPC at Scale Enabled by DDN A3i and NVIDIA SuperPOD

State of ARM-based HPC

Versal Premium ACAP for Network and Cloud Acceleration

Zettar: Moving Massive Amounts of Data across Any Distance Efficiently

Scaling TCO in a Post Moore's Era

CUDA-Python and RAPIDS for blazing fast scientific computing

Introducing HPC with a Raspberry Pi Cluster

Overview of HPC Interconnects

Recently uploaded

Knowledge engineering: from people to machines and back

Elena Simperl

The Art of the Pitch: WordPress Relationships and Sales

Laura Byrne

Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes? All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.

DevOps and Testing slides at DASA Connect

Kari Kakkonen

UiPath Test Automation using UiPath Test Suite series, part 3

DianaGray10

Generating a custom Ruby SDK for your web service or Rails API using Smithy

g2nightmarescribd

Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.

Monitoring Java Application Security with JDK Tools and JFR Events

Ana-Maria Mihalceanu

FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf

FIDO Alliance

Connector Corner: Automate dynamic content and events by pushing a button

DianaGray10

Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to: Create a campaign using Mailchimp with merge tags/fields Send an interactive Slack channel message (using buttons) Have the message received by managers and peers along with a test email for review But there’s more: In a second workflow supporting the same use case, you’ll see: Your campaign sent to target colleagues for approval If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team But—if the “Reject” button is pushed, colleagues will be alerted via Slack message Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors. And... Speakers: Akshay Agnihotri, Product Manager Charlie Greenberg, Host

From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...

Product School

To Graph or Not to Graph Knowledge Graph Architectures and LLMs

Paul Groth

JMeter webinar - integration with InfluxDB and Grafana

RTTS

Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application. In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics. Length: 30 minutes Session Overview ------------------------------------------- During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana: - What out-of-the-box solutions are available for real-time monitoring JMeter tests? - What are the benefits of integrating InfluxDB and Grafana into the load testing stack? - Which features are provided by Grafana? - Demonstration of InfluxDB and Grafana using a practice web application To view the webinar recording, go to: https://www.rttsweb.com/jmeter-integration-webinar

Designing Great Products: The Power of Design and Leadership by Chief Designe...

Product School

Assuring Contact Center Experiences for Your Customers With ThousandEyes

ThousandEyes

Elevating Tactical DDD Patterns Through Object Calisthenics

Dorra BARTAGUIZ

After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!

The Future of Platform Engineering

Jemma Hussein Allen

Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...

UiPathCommunity

💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™: See how to accelerate model training and optimize model performance with active learning Learn about the latest enhancements to out-of-the-box document processing – with little to no training required Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath. Speakers: 👨‍🏫 Andras Palfi, Senior Product Manager, UiPath 👩‍🏫 Lenka Dulovicova, Product Program Manager, UiPath

FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf

FIDO Alliance

Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...

Ramesh Iyer

In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.

Essentials of Automations: Optimizing FME Workflows with Parameters

Safe Software

Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place. Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects. Here’s what you’ll gain: - Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows. - Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy. - Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency. - Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity. We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic. Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.

Epistemic Interaction - tuning interfaces to provide information for AI support

Alan Dix

Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

Recently uploaded (20)

Knowledge engineering: from people to machines and back

The Art of the Pitch: WordPress Relationships and Sales

DevOps and Testing slides at DASA Connect

UiPath Test Automation using UiPath Test Suite series, part 3

Generating a custom Ruby SDK for your web service or Rails API using Smithy

Monitoring Java Application Security with JDK Tools and JFR Events

FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf

Connector Corner: Automate dynamic content and events by pushing a button

From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...

To Graph or Not to Graph Knowledge Graph Architectures and LLMs

JMeter webinar - integration with InfluxDB and Grafana

Designing Great Products: The Power of Design and Leadership by Chief Designe...

Assuring Contact Center Experiences for Your Customers With ThousandEyes

Elevating Tactical DDD Patterns Through Object Calisthenics

The Future of Platform Engineering

Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...

FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf

Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...

Essentials of Automations: Optimizing FME Workflows with Parameters

Epistemic Interaction - tuning interfaces to provide information for AI support

Xyratex SC13 Podcast

1. Puts Productivity Into HPC Storage

2. FAST - 1st to Deliver Sustained 1 TB/s New: Up to 60+ GB/s per Rack – 50% faster! RELIABLE - Lowest Disk Failure Rate New: ClusterStor RAID up to 400% faster MTTR! EFFICIENT - Highest Efficiency Per Drive New: 33% less power for the same performance! * Contrast to previous generation

3. Scaling Significantly Above Sustained 1 TB/s Throughput First to Exceed Sustained 1 TB/s NEW – Announcing ClusterStor™ 9000 ClusterStor 9000 ClusterStor 6000 ClusterStor 1500 Capacity Fastest Time to Results at Any Scale

4. ClusterStor Grid RAID ClusterStor RAID Up to 400% faster rebuild time Traditional RAID Rebuild Time RAID Rebuild Time Mandatory to effectively implement high capacity drives and solutions Grid RAID delivers up to 400% faster rebuild time Consolidates 4 to1 reduction in Object Storage Targets

5. Puts Productivity into HPC Storage The Fast, Reliable and Efficient Engineered Solution for HPC and Big Data • Built-in reliability and availability • Engineering Finance Genomics Energy Defense Delivers fastest, mature and proven Lustre® solution • Pharmacology Smartest, most efficient capabilities

6. Announcing ClusterStor™ 9000 and New Features

7. Announcing ClusterStor™ 9000 Engineered to Perform ClusterStor Manager ClusterStor Manager 1.4 • Enhanced management visibility • Simple click through to problem FRU Lustre 2.5 Bullet-Proof • Multiple metadata managers Lustre • Imperative recovery • HSM support ClusterStor Operating System ClusterStor OS • ClusterStor RAID • Flash Accelerator • CIFS / NFS Gateway High Efficiency • T10 DIF Type 2 Platform ClusterStor Platform • Now 50% Faster

8. Announcing ClusterStor™ 9000 Engineered Solution for HPC and Big Data • Now 50% faster than previous generation • Up to 9 GB/s per 5U-84 Scalable Storage Unit • Leverages latest Lustre® capabilities • Industry’s only engineered solution optimized for All Three Customer Mandates… • End-to-End Speed • Enterprise Bullet Proof Reliability • Clear Industry Leading Efficiency by Wide Margin ClusterStor 9000

9. Extending Total Solution Productivity NEW - Solutions to improve availability and reliability • • ClusterStor RAID Data Integrity Enhancements T10 DIF Type 2 NEW – Greater efficiency, workflow consolidation and productivity • • • • ClusterStor Flash Accelerator ClusterStor CIFS / NFS Gateway Enhanced Management Visibility Latest Lustre® Capabilities

10. ClusterStor delivers superior productivity, investment protection and ROI results • Extending linear performance Pharmacology Engineering Finance Genomics Energy Defense • Powerful robustness and reliability tools • Unmatched production proven efficiency

11. Thank you!

Editor's Notes

FACT - Industry 1st Sustained Throughput Over 1TB/s Predictable Linear Scalability Highest Concentrated PerformanceFACT - Industry 1st Engineered Solution for Lustre® Fastest deploymentComprehensive Ease of Use, Management and SupportFACT - Industry largest OEM disk storage system provider Leading storage innovation Proven track record and integration skillsFACT - Industry largest supplier of disk drive capital equipmentIndustry Lowest Field Reported Disk Drive Failure Rate
No Matter How Small or Large the Scale - Delivers Exactly What You Need Already fastest,with room to grow… Over 25,000 compute clients Over 35,000 file creates / deletes per second
Highest efficiency per disk drive - 92MB/s delivered - scaled linearly and sustained at scale – measured across 14,725 drivesNote – CS6

Xyratex SC13 Podcast

Recommended

Recommended

More Related Content

What's hot

What's hot (15)

Similar to Xyratex SC13 Podcast

Similar to Xyratex SC13 Podcast (20)

More from inside-BigData.com

More from inside-BigData.com (20)

Recently uploaded

Recently uploaded (20)

Xyratex SC13 Podcast

Editor's Notes