AI Infra Day | The AI Infra in the Generative AI Era
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AI Infra Day Oct. 25, 2023 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Bin Fan (Cheif Architect, VP of Open Source, @Alluxio) As the AI landscape rapidly evolves, the advancements in generative AI technologies, such as ChatGPT, are driving a need for a robust AI infra stack. This opening keynote will explore the key trends of the AI infra stack in the generative AI era.
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Writing efficient and correct incremental pipelines is challenging. Data practitioners who take on this challenge are viewed as performing an "advanced" function, which discourages broader teams from adopting incremental loads. In this lightning talk, CTO of Tobiko Data, Toby Mao, will demystify incremental loading data at scale.
Big Data Bellevue Meetup | Enhancing Python Data Loading in the Cloud for AI/ML
Big Data Bellevue Meetup
March 21, 2024
For more Alluxio events: https://alluxio.io/events/
Speakers:
Bin Fan (VP of Open Source, Alluxio)
In this presentation, Bin Fan (VP of Open Source @ Alluxio) will address a critical challenge of optimizing data loading for distributed Python applications within AI/ML workloads in the cloud, focusing on popular frameworks like Ray and Hugging Face. Integration of Alluxio’s distributed caching for Python applications is accomplished using the fsspec interface, thus greatly improving data access speeds. This is particularly useful in machine learning workflows, where repeated data reloading across slow, unstable or congested networks can severely affect GPU efficiency and escalate operational costs.
Attendees can look forward to practical, hands-on demonstrations showcasing the tangible benefits of Alluxio’s caching mechanism across various real-world scenarios. These demos will highlight the enhancements in data efficiency and overall performance of data-intensive Python applications. This presentation is tailored for developers and data scientists eager to optimize their AI/ML workloads. Discover strategies to accelerate your data processing tasks, making them not only faster but also more cost-efficient.
Alluxio Monthly Webinar | Why a Multi-Cloud Strategy Matters for Your AI Plat...
Alluxio Monthly Webinar
Feb. 27, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Tarik Bennett (Senior Solutions Engineer, Alluxio)
As GenAI and AI continue to transform businesses, scaling these workloads requires optimized underlying infrastructure. A multi-cloud architecture allows organizations to leverage different cloud services to meet diverse workload demands while maximizing efficiency, reducing costs, and avoiding vendor lock-in. However, achieving a multi-cloud vision can be challenging.
In this webinar, Tarik will share how an agonistic data layer, like Alluxio, allows you to embrace the separation of storage from compute and simplify the adoption of multi-cloud for AI.
- Learn why leveraging multiple cloud providers is critical for balancing performance, scalability, and cost of your AI platform
- Discover how an agnostic data layer like Alluxio provides seamless data access in multi-cloud that bridges storage and compute without data replication
- Gain insights into real-world examples and best practices for deploying AI across on-prem, hybrid, and multi-cloud environments
Alluxio Monthly Webinar | Five Disruptive Trends that Every Data & AI Leader...
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Jan. 30, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Kevin Petrie (VP of Research, Eckerson Group)
- Omid Razavi (SVP of Customer Success, Alluxio)
2024 is gearing up to be an impactful year for AI and analytics. Join us on January 30, as Kevin Petrie (VP of Research at Eckerson Group) and Omid Razavi (SVP of Customer Success at Alluxio) share key trends that data and AI leaders should know. This event will efficiently guide you with market data and expert insights to drive successful business outcomes.
- Assess current and future trends in data and AI with industry experts
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Data Infra Meetup
Jan. 25, 2024
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Juncheng Yang(Ph.D Candidate, @CMU)
As a cache eviction algorithm, FIFO has a lot of attractive properties, such as simplicity, speed, scalability, and flash-friendliness. The most prominent criticism of FIFO is its low efficiency (high miss ratio). In this talk, I will describe a simple, scalable FIFO-based algorithm with three static queues (S3-FIFO). Evaluated on 6594 cache traces from 14 datasets, we show that S3- FIFO has lower miss ratios than state-of-the-art algorithms across traces. Moreover, S3-FIFO’s efficiency is robust — it has the lowest mean miss ratio on 10 of the 14 datasets. FIFO queues enable S3-FIFO to achieve good scalability with 6× higher throughput compared to optimized LRU at 16 threads. Our insight is that most objects in skewed workloads will only be accessed once in a short window, so it is critical to evict them early (also called quick demotion). The key of S3-FIFO is a small FIFO queue that filters out most objects from entering the main cache, which provides a guaranteed demotion speed and high demotion precision.
Data Infra Meetup | Accelerate Your Trino/Presto Queries - Gain the Alluxio Edge
Data Infra Meetup
Jan. 25, 2024
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jingwen Ouyang (Product Manager, @Alluxio)
In this session, Jingwen presents an overview of using Alluxio Edge caching to accelerate Trino or Presto queries. She offers practical best practices for using distributed caching with compute engines. In addition, this session also features insights from real-world examples.
Data Infra Meetup | Accelerate Distributed PyTorch/Ray Workloads in the Cloud
Data Infra Meetup
Jan. 25, 2024
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Siyuan Sheng (Senior Software Engineer, @Alluxio)
- Chunxu Tang (Research Scientist, @Alluxio)
In this session, cloud optimization specialists Chunxu and Siyuan break down the challenges and present a fresh architecture designed to optimize I/O across the data pipeline, ensuring GPUs function at peak performance. The integrated solution of PyTorch/Ray + Alluxio + S3 offers a promising way forward, and the speakers delve deep into its practical applications. Attendees will not only gain theoretical insights but will also be treated to hands-on instructions and demonstrations of deploying this cutting-edge architecture in Kubernetes, specifically tailored for Tensorflow/PyTorch/Ray workloads in the public cloud.
Data Infra Meetup | ByteDance's Native Parquet Reader
Data Infra Meetup
Jan. 25, 2024
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Shengxuan Liu (Software Engineer, @ByteDance)
Shengxuan Liu from ByteDance presents the new ByteDance’s native Parquet Reader. The talk covers the architecture and key features of the Reader, and how the new Reader is able to facilitate data processing efficiency.
Data Infra Meetup | Uber's Data Storage Evolution
Data Infra Meetup
Jan. 25, 2024
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jing Zhao (Principal Engineer, @Uber)
Uber builds one of the biggest data lakes in the industry, which stores exabytes of data. In this talk, we will introduce the evolution of our data storage architecture, and delve into multiple key initiatives during the past several years.
Specifically, we will introduce:
- Our on-prem HDFS cluster scalability challenges and how we solved them
- Our efficiency optimizations that significantly reduced the storage overhead and unit cost without compromising reliability and performance
- The challenges we are facing during the ongoing Cloud migration and our solutions
Alluxio Monthly Webinar | Why NFS/NAS on Object Storage May Not Solve Your AI...
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Nov. 15, 2023
For more Alluxio Events: https://www.alluxio.io/events/
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- Tarik Bennett (Senior Solutions Engineer)
- Beinan Wang (Senior Staff Engineer & Architect)
Many companies are working with development architectures for AI platforms but have concerns about efficiency at scale as data volumes increase. They use centralized cloud data lakes, like S3, to store training data for AI platforms. However, GPU shortages add more complications. Storage and compute can be separate, or even remote, making data loading slow and expensive:
1) Optimizing a developmental setup can include manual copies, which are slow and error-prone
2) Directly transferring data across regions or from cloud to on-premises can incur expensive egress fees
This webinar covers solutions to improve data loading for model training. You will learn:
- The data loading challenges with distributed infrastructure
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- Common architectures that can improve data loading and cost efficiency
- Using Alluxio to accelerate model training and reduce costs
AI Infra Day | Accelerate Your Model Training and Serving with Distributed Ca...
AI Infra Day
Oct. 25, 2023
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Adit Madan (Director of Product Management, @Alluxio)
In this session, Adit Madan, Director of Product Management at Alluxio, presents an overview of using distributed caching to accelerate model training and serving. He explores the requirements of data access patterns in the ML pipeline and offers practical best practices for using distributed caching in the cloud. This session features insights from real-world examples, such as AliPay, Zhihu, and more.
AI Infra Day | Hands-on Lab: CV Model Training with PyTorch & Alluxio on Kube...
AI Infra Day
Oct. 25, 2023
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Lu Qiu (Machine Learning Engineer, @Alluxio)
- Shawn Sun (Software Engineer, @Alluxio)
This hands-on session will discuss best practices for using PyTorch and Alluxio during model training on AWS. Chunxu and Lu will provide a step-by-step demonstration of how to use Alluxio on EKS as a distributed cache to accelerate computer vision model training jobs that read datasets from S3. This architecture significantly improves the utilization of GPUs from 30% to 90%+, archives ~5x faster training, and lower cloud storage costs.
AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...
AI Infra Day
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Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jordan Plawner (Global Director of Artificial intelligence Product Management and Strategy, @Intel)
ChatGPT and other massive models represents an amazing step forward in AI, yet they do not solve real-world business problems. We will survey how the AI ecosystem has worked non-stop over this last year to take these all-purpose multi-task models and optimize them to they can be used by organizations to address domain specific problems. We will explain these new AI-for-the-real world techniques and methods such as fine tuning and how can be applied to deliver results which are highly performant with state-of-the-art accuracy while also being economical to build and deploy everywhere to enhance products and services.
AI Infra Day | Composable PyTorch Distributed with PT2 @ Meta
AI Infra Day
Oct. 25, 2023
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Wanchao Liang (Software Engineer, @Meta)
Explore the technology advancements of PyTorch Distributed, and dive into the details of how multi-dimensional parallelism is made possible to train Large Language Models by composing different PyTorch native distributed training APIs.
AI Infra Day | Model Lifecycle Management Quality Assurance at Uber Scale
AI Infra Day
Oct. 25, 2023
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Sally (Mihyoung) Lee (Senior Staff Engineer, TLM, @Uber)
Machine learning models power Uber’s everyday business. However, developing and deploying a model is not a one-time event but a continuous process that requires careful planning, execution, and monitoring. This session will highlight Uber’s practice on the machine learning lifecycle to ensure high model quality.
Alluxio Monthly Webinar | Efficient Data Loading for Model Training on AWS
Alluxio Monthly Webinar
Oct. 3, 2023
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Greg Palmer (Lead Solutions Engineer)
Model training requires extensive computational and GPU resources. When training models on AWS, loading data from S3 often becomes a major bottleneck, wasting valuable GPU cycles. Optimizing data loading can greatly reduce GPU idle time and increase GPU utilization.
In this webinar, Greg Palmer will discuss best practices for efficient data loading during model training on AWS. He will demonstrate how to use Alluxio on EKS as a distributed cache to accelerate PyTorch training jobs that read datasets from S3. This architecture significantly improves the utilization of GPUs from 30% to 90%+, archives ~5x faster training, and lower cloud storage costs.
What you will learn:
- The challenges of feeding data-hungry GPUs in the cloud
- How to accelerate model training by optimizing data loading on AWS
- The reference architecture for running PyTorch jobs with Alluxio cache on EKS while reading data from S3, with benchmark results of training ResNet50 and BERT
- How to use TensorBoard to identify bottlenecks in GPU utilization
Alluxio + Eckerson Webinar | Simplifying and Accelerating Data Access for AI/...
Alluxio + Eckerson Webinar
Sep. 12, 2023
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Kevin Petrie
(Vice President of Research
)
- Sridhar Venkatesh (SVP of Product)
As enterprises race to roll out artificial intelligence, often overlooked are the infrastructure needs to support scalable ML model development and deployment. Efforts to effectively access and utilize GPUs often lead to extensive data engineering managing data copies or specialized storage, leading to out-of-control cloud and infrastructure costs.
To address the challenges, enterprises need a new data access layer to connect compute engines to data stores wherever they reside in distributed environments.
Join this webinar with Kevin Petrie, Eckerson Group VP of Research, and Sridhar Venkatesh, Alluxio SVP of Product, to explore tools, techniques, and best practices to remove data access bottlenecks and accelerate AI/ML model training. You will learn:
- Modern requirements for AI/ML model training and data engineering
- The challenges of GPU utilization in machine learning and the need for specialized hardware
- How a new data access layer connects compute to data stores across environments
- Best practices for optimizing ML training and guiding principles for success
Alluxio Monthly Webinar - Accelerate AI Path to Production
Alluxio Product School Webinar
Aug. 15, 2023
For more Alluxio Events: https://www.alluxio.io/events/
Speaker: Roland Theron (Senior Solutions Engineer, Alluxio)
Organizations are retooling their enterprise data infrastructure in the race for AI/ML. However, growing datasets, extensive data engineering overhead, high GPU costs, and expensive specialized storage can make it difficult to get fast results from model development.
The data access layer is the key to accelerating your path to AI/ML. In this webinar, Roland Theron, Senior Solutions Engineer at Alluxio, discusses how the data access layer can help you:
- Build AI architecture on your existing data lake without the need for specialized hardware.
- Streamline the time-consuming process of managing data copies in data engineering.
- Speed up training workloads with high GPU utilization.
- Achieve optimal concurrency to deliver models to inference clusters for demanding applications
Alluxio Webinar - Maximize GPU Utilization for Model Training
Alluxio Webinar
June 26. 2023
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
Tarik Bennett (Senior Solutions Engineer, Alluxio)
Beinan Wang (Tech Lead, Alluxio)
When training models on ultra-large datasets, one of the biggest challenges is low GPU utilization. These powerful processors are often underutilized due to inefficient I/O and data access. This mismatch between computation and storage leads to wasted GPU resources, low performance, and high cloud storage costs. The rise of generative AI and GPU scarcity is only making this problem worse.
In this webinar, Tarik and Beinan discuss strategies for transforming idle GPUs into optimal powerhouses. They will focus on cost-effective management of ultra-large datasets for AI and analytics.
Alluxio Product school Webinar - Distributed Caching for Generative AI
Alluxio Product School Webinar
May 24. 2023
For more Alluxio Events: https://www.alluxio.io/events/
Speaker: Shouwei Chen (core maintainer & product manager, Alluxio)
As the AI landscape rapidly evolves, the advancements in generative AI technologies, such as ChatGPT, are driving a need for robust data infrastructures tailored for large language model (LLM) training and inference in the cloud. To effectively leverage the breakthroughs in LLM, organizations must ensure low latency, high concurrency, and scalability in production environments. In this Alluxio-hosted webinar, Shouwei will present on the design and implementation of a distributed caching system that addresses the I/O challenges of LLM training and inference. He will explore the unique requirements of data access patterns and offer practical best practices for optimizing the data pipeline through distributed caching in the cloud. The session will feature insights from real-world examples, such as Microsoft, Tencent, and Zhihu, as well as from the open-source community. Attendees will leave with a deeper understanding of how to harness scalable, efficient, and robust data infrastructures for LLM training and inference.
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Big Data Bellevue Meetup | Enhancing Python Data Loading in the Cloud for AI/ML
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Alluxio Monthly Webinar | Five Disruptive Trends that Every Data & AI Leader...
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Data Infra Meetup | Accelerate Your Trino/Presto Queries - Gain the Alluxio Edge
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AI Infra Day | The Generative AI Market And Intel AI Strategy and Product Up...
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AI Infra Day | Composable PyTorch Distributed with PT2 @ Meta
AI Infra Day | Composable PyTorch Distributed with PT2 @ Meta
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AI Infra Day | Model Lifecycle Management Quality Assurance at Uber Scale
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Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
top nidhi software solution freedownload
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
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