Simple guide to understanding customers needs and positioning the best Nvidia solution, This is an easy-to-use Sales Guide that we provide to our partners.
ENTER NVIDIA GRID
Delivering accelerated virtual desktops and applications.
This is where NVIDIA, the leader in graphics acceleration, stepped in to help. NVIDIA GRID technology allows IT to virtualize the physical GPU sitting in a server and share it with multiple VDI instances. This means that IT can deliver a true PC experience to any remote device from the datacenter. By providing a way to bring graphics acceleration to virtualization, NVIDIA GRID allows you to unlock all of the promises of productivity, mobility, security and flexibility for every one of your users.
With NVIDIA GRID you can safely house ALL your current into the datacenter so that they can be delivered out to any device, be it a thin client, chromebook, iPad or BYO Device. From an end user perspective this means they can be more productive working with the devices and in the locations that best suit them. For IT they are able to manage everything in a centrally in the datacenter which vastly simplifies their life.
by Mr. Tom Riley,
Director Global Business Development - Enterprise VR
At CES 2016, we made a series of announcements highlighting our work to advance the biggest trends in the industry — self-driving cars, artificial intelligence and
virtual reality. The focus of our news was NVIDIA DRIVE, an end-to-end deep learning platform for self-driving cars.
As artificial intelligence sweeps across the technology landscape, NVIDIA unveiled today at its annual GPU Technology Conference a series of new products and technologies focused on deep learning, virtual reality and self-driving cars.
GTC attendees were welcomed into the virtual world of “Ready Player One” and were lead through a collaborative, virtual escape room experience in the NVIDIA Holodeck. With real-world physics, natural interactions, and data-rich models, the NVIDIA Holodeck made for the perfect environment to showcase the cinema-quality assets from the film.
Kicking off the first in a series of global GPU Technology Conferences, NVIDIA co-founder and CEO Jen-Hsun Huang today at GTC China unveiled technology that will accelerate the deep learning revolution that is sweeping across industries. Huang spoke in front of a crowd of more than 2,500 scientists, engineers, entrepreneurs and press, gathered in Beijing for a day devoted to deep learning and AI. On stage he announced the Tesla P4 and P40 GPU accelerators for inferencing production workloads for AI services and, a small, energy-efficient AI supercomputer for highway driving — the NVIDIA DRIVE PX 2 for AutoCruise.
Top 5 Stories in Design and Visualization - Nov. 20, 2017NVIDIA
NVIDIA’s Design and Visualization platform gives artists, designers, engineers and developers the power to realize their vision. From innovative product development to immersive story-telling to reimagining the cities of the future, NVIDIA works with you to do it better and faster.
ENTER NVIDIA GRID
Delivering accelerated virtual desktops and applications.
This is where NVIDIA, the leader in graphics acceleration, stepped in to help. NVIDIA GRID technology allows IT to virtualize the physical GPU sitting in a server and share it with multiple VDI instances. This means that IT can deliver a true PC experience to any remote device from the datacenter. By providing a way to bring graphics acceleration to virtualization, NVIDIA GRID allows you to unlock all of the promises of productivity, mobility, security and flexibility for every one of your users.
With NVIDIA GRID you can safely house ALL your current into the datacenter so that they can be delivered out to any device, be it a thin client, chromebook, iPad or BYO Device. From an end user perspective this means they can be more productive working with the devices and in the locations that best suit them. For IT they are able to manage everything in a centrally in the datacenter which vastly simplifies their life.
by Mr. Tom Riley,
Director Global Business Development - Enterprise VR
At CES 2016, we made a series of announcements highlighting our work to advance the biggest trends in the industry — self-driving cars, artificial intelligence and
virtual reality. The focus of our news was NVIDIA DRIVE, an end-to-end deep learning platform for self-driving cars.
As artificial intelligence sweeps across the technology landscape, NVIDIA unveiled today at its annual GPU Technology Conference a series of new products and technologies focused on deep learning, virtual reality and self-driving cars.
GTC attendees were welcomed into the virtual world of “Ready Player One” and were lead through a collaborative, virtual escape room experience in the NVIDIA Holodeck. With real-world physics, natural interactions, and data-rich models, the NVIDIA Holodeck made for the perfect environment to showcase the cinema-quality assets from the film.
Kicking off the first in a series of global GPU Technology Conferences, NVIDIA co-founder and CEO Jen-Hsun Huang today at GTC China unveiled technology that will accelerate the deep learning revolution that is sweeping across industries. Huang spoke in front of a crowd of more than 2,500 scientists, engineers, entrepreneurs and press, gathered in Beijing for a day devoted to deep learning and AI. On stage he announced the Tesla P4 and P40 GPU accelerators for inferencing production workloads for AI services and, a small, energy-efficient AI supercomputer for highway driving — the NVIDIA DRIVE PX 2 for AutoCruise.
Top 5 Stories in Design and Visualization - Nov. 20, 2017NVIDIA
NVIDIA’s Design and Visualization platform gives artists, designers, engineers and developers the power to realize their vision. From innovative product development to immersive story-telling to reimagining the cities of the future, NVIDIA works with you to do it better and faster.
At a press event kicking off CES 2016, we unveiled artificial intelligence technology that will let cars sense the world around them and pilot a safe route forward.
Dressed in his trademark black leather jacket, speaking to a crowd of some 400 automakers, media and analysts, NVIDIA CEO Jen-Hsun Huang revealed DRIVE PX 2, an automotive supercomputing platform that processes 24 trillion deep learning operations a second. That’s 10 times the performance of the first-generation DRIVE PX, now being used by more than 50 companies in the automotive world.
The new DRIVE PX 2 delivers 8 teraflops of processing power. It has the processing power of 150 MacBook Pros. And it’s the size of a lunchbox in contrast to other autonomous-driving technology being used today, which takes up the entire trunk of a mid-sized sedan.
“Self-driving cars will revolutionize society,” Huang said at the beginning of his talk. “And NVIDIA’s vision is to enable them.”
Opening Keynote at GTC 2015: Leaps in Visual ComputingNVIDIA
NVIDIA CEO and co-founder Jen-Hsun Huang took the stage for the GPU Technology Conference in the San Jose Convention Center to present some major announcements on March 17, 2015. You'll find out how NVIDIA is innovating in the field of deep learning, what NVIDIA DRIVE PX can do for automakers, and where Pascal, the next-generation GPU architecture, fits in the new performance roadmap.
Nvidia Deep Learning Solutions - Alex SabatierSri Ambati
Alex Sabatier from Nvidia talks about the future of Deep Learning from an chipmaker perspective
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
1043: Applications and porting to OpenPOWERNVIDIA Japan
John Ashley
Senior IBM Developer Relationship Manager
NVIDIA Corporation
This session gives you twice the content by incorporating two talks! First, we cover the current state of applications on OpenPOWER with an emphasis on GPU applications. Second, we cover the process of porting applications to OpenPOWER and the motivation to do so.
Social media report - Technology Brands (India) Q2 2016Unmetric
Take a detailed look at the social media performance of the top technology brands on social media from India. Find out which brand is the most engaging and why.
Engineering Your Supply Chain for Exponential GrowthIntrigo Systems
Larry Sladewski, Senior Director of Materials at NVIDIA and Intrigo, will give you an update on NVIDIA's supply chain initiative. This presentation will focus on critical operations and the need to dynamically reallocate build plans, WIP, and inventory across the supply chain. [Presented at the 2012 SAP Summit on Suppy Chain Management in Palo Alto, CA]
Partner relationships are the bedrock of a successful channel sales model. However, sometimes partner relationship management can seem like an icy road where you skid at every step. Watch this presentation to discover ways to boost partner engagement.
NVIDIA is the world leader in visual computing. The GPU, our invention, serves as the visual cortex
of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions like self-learning machines and self-driving cars.
At a press event kicking off CES 2016, we unveiled artificial intelligence technology that will let cars sense the world around them and pilot a safe route forward.
Dressed in his trademark black leather jacket, speaking to a crowd of some 400 automakers, media and analysts, NVIDIA CEO Jen-Hsun Huang revealed DRIVE PX 2, an automotive supercomputing platform that processes 24 trillion deep learning operations a second. That’s 10 times the performance of the first-generation DRIVE PX, now being used by more than 50 companies in the automotive world.
The new DRIVE PX 2 delivers 8 teraflops of processing power. It has the processing power of 150 MacBook Pros. And it’s the size of a lunchbox in contrast to other autonomous-driving technology being used today, which takes up the entire trunk of a mid-sized sedan.
“Self-driving cars will revolutionize society,” Huang said at the beginning of his talk. “And NVIDIA’s vision is to enable them.”
Opening Keynote at GTC 2015: Leaps in Visual ComputingNVIDIA
NVIDIA CEO and co-founder Jen-Hsun Huang took the stage for the GPU Technology Conference in the San Jose Convention Center to present some major announcements on March 17, 2015. You'll find out how NVIDIA is innovating in the field of deep learning, what NVIDIA DRIVE PX can do for automakers, and where Pascal, the next-generation GPU architecture, fits in the new performance roadmap.
Nvidia Deep Learning Solutions - Alex SabatierSri Ambati
Alex Sabatier from Nvidia talks about the future of Deep Learning from an chipmaker perspective
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
1043: Applications and porting to OpenPOWERNVIDIA Japan
John Ashley
Senior IBM Developer Relationship Manager
NVIDIA Corporation
This session gives you twice the content by incorporating two talks! First, we cover the current state of applications on OpenPOWER with an emphasis on GPU applications. Second, we cover the process of porting applications to OpenPOWER and the motivation to do so.
Social media report - Technology Brands (India) Q2 2016Unmetric
Take a detailed look at the social media performance of the top technology brands on social media from India. Find out which brand is the most engaging and why.
Engineering Your Supply Chain for Exponential GrowthIntrigo Systems
Larry Sladewski, Senior Director of Materials at NVIDIA and Intrigo, will give you an update on NVIDIA's supply chain initiative. This presentation will focus on critical operations and the need to dynamically reallocate build plans, WIP, and inventory across the supply chain. [Presented at the 2012 SAP Summit on Suppy Chain Management in Palo Alto, CA]
Partner relationships are the bedrock of a successful channel sales model. However, sometimes partner relationship management can seem like an icy road where you skid at every step. Watch this presentation to discover ways to boost partner engagement.
NVIDIA is the world leader in visual computing. The GPU, our invention, serves as the visual cortex
of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions like self-learning machines and self-driving cars.
NVIDIA vGPU - Introduction to NVIDIA Virtual GPULee Bushen
Lee Bushen, Senior Solutions Architect at NVIDIA covers the basics of NVIDIA Virtual GPU.
- Why vGPU?
- How does it work?
- What are the main considerations for VDI?
- Which GPU is right for me?
- Which License do I need?
VMworld 2013
Geoff Murase, VMware
Will Wade, NVIDIA
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
MT147_Thinking Windows 10? Think simple, scalable, and secure deployments wit...Dell EMC World
Over 350M Windows 10 devices have been deployed in less than a year, and the recent Windows 10 anniversary update has accelerated the planning of Windows 10 rollouts for the vast majority of enterprises. This is the perfect time to evaluate your desktop deployment strategy. In this session, we will discuss the how VMware Horizon with Dell infrastructure can enable your journey to Windows 10, the benefits of centrally deploying Windows 10 through virtual desktops, and what this means for BYOD. We’ll also cover how the latest innovations from VMware and Dell can deliver simple, scalable, and secure Windows 10 deployments.
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
TiECon Florida keynote - New opportunities for entrepreneurs using GPU & CUDAShanker Trivedi
This is a presentation that I gave at TiEcon Florida on 20 Sept 2013. I spoke about the new opportunities that are emerging for entrepreneurs caused by the disruptive innovation potential of GPU, CUDA and parallel computing technologies.
Silicom Ventures Talk Aug 2013 - GPUs and Parallel Programming create new opp...Shanker Trivedi
GPU are delivering exponential improvements in computing performance and scalability. And new parallel programming architectures such as CUDA are allowing smart technologists to harness the power of GPUs to address hitherto insoluble problems. This talk will illustrate the emerging opportunities and solutions that GPUs and parallel programming can offer in medical instruments and imaging, defense and surveillance, autonomous vehicles, the internet of things and sensory computing, manufacturing design and simulation, and seismic geology. The talk will be relevant to entrepreneurs who are thinking about the "next big thing" and to investors who may be thinking of the future mega trends.
Presentation by Jonathan Cohen & Mark Berger at Bioinformatics conference July 2013. It covers
- GPU Programming in 10 slides
- GPUs in Bioinformatics
- Porting SeqAn to CUDA
- Resources for developers and bioinformatics professionals
Tesla 2009-2013 and beyond. Check out the amazing progress we've made in the past 4 years This is a presentation made by my colleague Sumit Gupta at the NVIDIA investor Day 11 April 2013.
We have made significant progress over the past couple of years working with scientists around the world helping them to accelerate scientific discovery - using Nvidia Tesla GPU and CUDA computing
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan 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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
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
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Nvidia quadro sales guide
1. NOW: With advanced technology, you can do even more with GPUs:
Engineers use GPUs to design
everything from golf clubs
to luxury cars to jumbo jets.
Researchers use GPUs to model
complex systems, from the human
body to the universe.
GPUs create stunning visual
effects for award-winning movies,
media and games.
Scientists use GPUs to advance
medical science, prevent pandemics,
and discover new drugs.
WHAT IS A GPU: A GPU, or graphics processing
unit, is a highly efficient parallel processor that excels
at tackling large amounts of data simultaneously.
The beauty of the 3D world comes to life and complex
calculations are exponentially faster.
DID YOU KNOW?
> More than 1 billion GPUs
have been shipped to date.
> NVIDIA has 5,000+ patents
granted or pending.
> GPUs can accelerate applications
by as much as 100x.
> NVIDIA GPUs power 50 of the
world’s top supercomputers.
> 100% of nominees for Best Visual
Effects Oscar were powered by NVIDIA
GPUs (2010,2011,2012, and 2013).
> NVIDIA received a Technology and
Engineering Emmy Award for its
innovation in graphics processor
development.
HOW GPUs WORK: GPUs and CPUs work together
to process application workloads. The CPU handles
simple serial tasks while the GPU handles increasingly
more visual and compute-intensive workloads.
The result is a transformation of everyday PCs into
professional workstations and supercomputers.
A CPU has
multiple cores
A GPU has
thousands of cores
THEN: In 1999, GPUs were used to develop graphics
for PC games.
NVIDIA
®
PROFESSIONAL
SOLUTIONS SALES TOOLKIT
Inspiring Customers to do Their Best Work. Faster.
Powerful | EFFICIENT | EXTRAORDINARY
Imagine a processor that offers advanced design capabilities for entertainment
and commerce, while enabling scientists to tackle the world’s most challenging
problems from climate research to quantum physics. The GPU makes all of this
possible. NVIDIA customers want to do things better, faster and at higher capacity
than ever before. Help your prospective customers realize their ambitions with
the right professional solution from NVIDIA.
EVOLUTION OF THE GPU
W
HAT
IS
A
GPU?
2. NVIDIA offers a suite of professional solutions that enable designers, manufacturers, scientists and researchers
to do their work smarter, faster, with greater reliability and with energy efficiency. Help your customer choose
the right GPU with the following conversation starter.
WHY DOES YOUR CUSTOMER NEED A GPU?
I WORK WITH
BUSINESS
APPLICATIONS
THAT ARE NOT
HIGHLY GRAPHICS
INTENSIVE BUT I
NEED TO RELIABLY
DRIVE MULTIPLE
DISPLAYS
I WORK WITH
APPLICATIONS THAT
ARE 3D GRAPHICS
INTENSIVE AND I
NEED MOBILITY
I WORK WITH
APPLICATIONS THAT
ARE 3D GRAPHICS
INTENSIVE AND I
USE A DESKTOP
WORKSTATION
I WORK WITH
APPLICATIONS
THAT HAVE 3D
GRAPHICS BUT
ALSO REQUIRE HIGH
COMPUTATIONAL
HORSEPOWER
IN MY DESKTOP
WORKSTATION
I WORK WITH HIGH-
PERFORMANCE
COMPUTATIONAL
APPLICATIONS
(HPC) ON A
DESKTOP
WORKSTATION
I WORK WITH HIGH-
PERFORMANCE
COMPUTATIONAL
APPLICATIONS
(HPC) IN A SERVER
ENVIRONMENT
Does your work involve creating or visualizing
data and images, or heavy computation?
QUESTION YES
See NVIDIA TESLA section for
more information
See NVIDIA QUADRO and NVIDIA
TESLA sections for more information
See NVIDIA QUADRO section for
more information
See NVIDIA QUADRO section for
more information
See NVIDIA NVS section for
more information
Recommend
NVIDIA TESLA®
The high-performance solution
> NVIDIA Tesla parallel processors
can handle the largest datasets
in science and engineering
applications.
Recommend
NVIDIA MAXIMUS™
Visualization and computation solution
> NVIDIA Maximus combines the
visualization capability of Quadro
with the computing power of
Tesla in a single workstation.
Recommend
NVIDIA NVS™
The multi-display solution
> NVIDIA NVS enhances
productivity in multi desktop
environments.
Recommend
NVIDIA QUADRO®
Powerful visualization for MOBILE
> NVIDIA Quadro Mobile offers
the same performance as
Quadro Desktop solutions
in a portable form factor.
Recommend
NVIDIA QUADRO®
Powerful visualization for DESKTOP
> NVIDIA Quadro is recommended,
tested, and certified on 200+
professional applications.
Great! NVIDIA Professional Solutions
are perfect for you!
3. NVIDIA
®
NVS
™
multi‑display SOLUTION
NVIDIA NVS is an enterprise business graphics solution that enhances
productivity in multi-desktop environments. Key benefits include:
> Flicker-free viewing for two or more displays
> Compatible across multiple display and system types
> Built-in NVIDIA technologies to easily manage your display real estate*
- NVIDIA®
nView®
desktop management software that helps
increase productivity
- NVIDIA Mosaic technology that seamlessly spans your entire desktop
across multiple displays
> Flexibility to expand the number of displays without replacing your system**
Financial Institutions
> Trading Floors > Insurance and Banking Centers
Digital Signage
> Airport Signage > Restaurants and Shopping Malls
Process Control
> Government Institutions > Control and Command Centers
Business Environments
> Call Centers > Hospitals
* For more information on nView and Mosaic technologies please visit www.nvidia.com/nview and www.nvidia.com/mosaic | ** Not available with integrated graphics options
N
VIDIA
N
VS
4. NVS
300
NVS
310
NVS
420
NVS
450
NVS
510
Consumer
Graphics Card
Integrated
Graphics
Advanced Display Capability Max Number of Displays 2 2 4 4 4 2-4 2
Display Expandability
Productivity-Enhancing Display‑Management Tools
Reliability Low-Power Graphics (<25 W)
Fan-less Design for Quiet Environments
Robust Technologies to Optimize System Uptime
Enterprise Tools for Remote IT Management
Availability & Serviceability Cost of Serviceability $ $ $ $ $ $ $$$*
Why Does your Customer Need NVIDIA®
NVS™?
1 or 2 3 or More
Recommend
Dual NVS Products
NVS 300/NVS 310
Recommend
Quad NVS Products
NVS 450/NVS 420/NVS 510
ASK HOW MANY MONITORS
DO YOU PLAN TO CONNECT?
* NOTE: Integrated graphics serviceability requires you to replace system.
5. 1
Requires a DMS59 to DVI/VGA/DisplayPort cable adaptor | 2
Requires a VHDCI to DVI/DisplayPort based cable adaptor
3
NVS 510 supports a maximum of 4 simultaneous displays in Win7, Win8 & Linux OS’s only (maximum of 2 displays in Windows XP)
NVS 510 NVS 450 NVS 420 NVS 300 NVS 310
Dedicated Graphics
Memory (Frame Buffer)
Ultra-Fast 2 GB
DDR3
Ultra-Fast 512 MB GDDR3 Fast 512 MB DDR3
Low Power Consumption Up to 35 W Up to 35 W Up to 40 W Up to 18 W Up to 20 W
Cooling Active Fan-less Active Fan-less Active
System Types Supported Small form/full-height Full-heightsystemsonly Small form-factor or full-height systems
Native Display Output(s) Quad Mini DP 1.2 Quad DP Quad DP or SL‑DVI2
Dual VGA,SL-DVI,orDP1
Dual DP (DP 1.2)
Max Resolution 3840 x 2160 2560 x 1600
Bus Interface Type PCIE x16 Only Gen 2 PCIE x16 Only Gen 2 PCIE x16 or PCIEx1 Gen 2 PCIE x16 Only Gen 2
Max # of Displays
Supported
Display Tools + Technology NVIDIA®
Mosaic technology and NVIDIA nView®
desktop-management software
Enterprise-Management
Tools
Enterprise tools for remote management of graphics and display settings. Driver-installer tools.
Recommended
Solution for
customerS who
need...
>>Graphics to drive four
displays in small
form-factor or
full-height systems
>>Best performance
and low power
>>Large dedicated
frame buffer
>>Graphics to drive
four displays in full-
height desktops or
workstations
>>Low power
consumption and
fan‑less solution
>>Graphics to drive
four displays in
small form-factor
or full-height
systems
>>Low power
consumption
>>Graphics to drive
one or two displays
via VGA, DVI, or
DisplayPort
>>Lowest power and
fan‑less solution
>>Graphics to drive
one or two displays
via DisplayPort
>>Balanced power
and performance
Which NVIDIA®
NVS™ GPU Does Your Customer Need?
3
N
VIDIA
N
VS
6. Help Your Customers Connect Their Displays
For NVS 510, use included mini DP-to-DP cable with standard DisplayPort cable/cable adaptor to connect to any display type.
Alternately users can also directly connecting using mini DisplayPort cables/adaptors.
1
Requires a DMS59 to DVI/VGA/DisplayPort cable adaptor
2
Requires a VHDCI to DVI/DisplayPort-based cable adaptor
3
Requires a DisplayPort to SL-DVI/VGA/HDMI cable adaptor
4
Requires DisplayPort to Dual Link DVI dongle
Number of Displays
Max Resolution of Display Preferred Connectors/Cable 1-2 3-4 5-6 6-8
Up to
1920 x 1200
VGA NVS 3001
2x NVS 3001
2x NVS 450/NVS 5103
2x NVS 450/NVS 5103
NVS 450/NVS 5103
3x NVS 3001
DVI (Single Link) NVS 3001
2x NVS 3001
2x NVS 4202
2x NVS 4202
NVS 4202
2x NVS 450/ NVS 5103
2x NVS 450/NVS 5103
NVS 450/NVS 5103
3x NVS 3001
DisplayPort NVS 310 NVS 450/NVS 510 2x NVS 450/NVS 510 2x NVS 450/NVS 510
NVS 3001
2x NVS 310 2x NVS 4202
2x NVS 4202
2x NVS 3001
3x NVS 310
NVS 4202
3x NVS 3001
HDMI NVS 3103
2x NVS 3103
2x NVS 450/NVS 5103
2x NVS 450/NVS 5103
NVS 450/NVS 5103
3x NVS 3103
Larger than
1920 x 1200
DVI (Dual Link) NVS 3104
2x NVS 3104
2x NVS 450/NVS 5104
2x NVS 450/NVS 5104
NVS 450/NVS 5104
DisplayPort NVS 310 NVS 450/NVS 510 2x NVS 450/NVS 510 2x NVS 450/NVS 510
NVS 3001
2x NVS 310 2x NVS 4202
2x NVS 4202
2x NVS 3001
3x NVS 310
NVS 4202
3x NVS 3001
7. NVIDIA
®
QUADRO
®
,
QUADRO MOBILE & MAXIMUS
™
Powerful, Efficient Visualization
NVIDIA QUADRO family of products, based on the Kepler architecture GPUs
are recommended, tested, and certified on more than 200 professional applications
across many industries, including manufacturing, entertainment, sciences, and
energy. Professionals trust them to deliver the best possible experience with
applications.
NVIDIA QUADRO MOBILE GPUs offer comparable performance in
a mobile solution.
NVIDIA MAXIMUS second generation technology based on the Kepler
architecture combines two or more NVIDIA processors to accelerate graphics and
computation at the same time. In the Maximus configuration:
> The NVIDIA Tesla®
GPU performs the heavy lifting of photorealistic rendering,
simulation, or computation.
> The NVIDIA Quadro GPU powers rich, full-performance, interactive design.
> The CPU is freed up for the tasks it performs best.
NVIDIA QUADRO
NVIDIA MAXIMUS™ RECIPE*
ISV certified drivers supporting Maximus: 310 or newer
Visual
Computing GPU:
Quadro K5000
Quadro K4000
Quadro K2000
Quadro K600
Parallel
Computing GPU:
Tesla K20c
(one or more)
+
efficient
multi-tasking
higher
performance
ISV
certified
✓Design AND simulate ✓Faster simulation ✓Tesla and Quadro
board certifications
✓ Design AND render ✓Faster rendering ✓Global OEM system
certifications
✓ Seamless experience ✓100% interactive design
performance while
rendering or simulating
✓All leading CAD
and CAE ISVs
Maximus Benefits
DESIGN RENDER/
SIMULATE
GPU
CPU
*Kepler Family
N
VIDIA
QUADRO
8. Recommended NVIDIAProfessional solution
GOOD BETTER BEST
> Occasional use of application > Regular use of application > Pushing the application to its limits
> Small objects and assemblies > Average to large objects and assemblies > Extremely large objects and assemblies
> About 10% of the users > Using all application features > Using all application features
> About 80% of the users > About 10% of the users
DESIGN/ENGINEERING/MANUFACTURING
Altair®
HyperWorks® Desktop NVIDIA®
Quadro®
K2000 Quadro K4000 Quadro K5000
Mobile Quadro K2000M Quadro K4000M Quadro K5000M
ANSYS Mechanical™ Desktop Maximus™ (Quadro K600 + Tesla®
K20c) Maximus (Quadro K2000 + Tesla K20c) Maximus (Quadro K4000 + Tesla K20c)
Mobile N/A N/A N/A
AutoCAD®
Design Suite (AutoCad + Showcase + 3Ds Max) Desktop Quadro K2000 Quadro K5000 Maximus (Quadro K5000 + Tesla K20c)
Mobile Quadro K1000M Quadro K2000M Quadro K4000M
Autodesk®
AutoCAD® Desktop Quadro K600 Quadro K2000 Quadro K4000
Mobile Quadro K1000M Quadro K2000M Quadro K3000M
Product Design Suite (Inventor + Showcase + 3Ds Max) Desktop Quadro K2000 Quadro K5000 Maximus (Quadro K5000 + Tesla K20c)
Mobile Quadro K2000M Quadro K5000M Quadro K5000M
Autodesk Inventor® Desktop Quadro K2000 Quadro K4000 Quadro K5000
Mobile Quadro K2000M Quadro K4000M Quadro K5000M
Autodesk MoldFlow® Desktop Maximus (Quadro K600 + Tesla K20c) Maximus (Quadro K2000 + Tesla K20c) Maximus (Quadro K4000 + Tesla K20c)
Mobile Quadro K5000M Quadro K5000M Quadro/K5000M
Autodesk Mudbox™ Desktop Quadro K4000 Quadro K5000 Quadro 6000
Mobile Quadro K4000M Quadro K5000M Quadro K5000M
Building Design Suites Desktop Quadro K2000 Quadro K5000 Maximus (Quadro K5000 + Tesla K20c)
Mobile Quadro K4000M Quadro K5000M Quadro K5000M
Autodesk Revit® Desktop Quadro K600 Quadro K2000 Quadro K4000
Mobile Quadro K1000M Quadro K2000M Quadro K4000M
Autodesk Showcase™ Desktop Quadro K4000 Quadro K5000 Quadro 6000
Mobile Quadro K4000M Quadro K5000M Quadro K5000M
Autodesk Inventor + 3ds Max® Desktop Quadro K2000 Quadro K5000 Maximus (Quadro K5000 + Tesla K20c)
Mobile Quadro K5000M N/A N/A
Autodesk Revit + 3ds Max Desktop Quadro K2000 Quadro K5000 Maximus (Quadro K5000 + Tesla K20c)
Mobile Quadro K5000M N/A N/A
Which Quadro Solution is Right for Your Customer?
ASK WHAT PRIMARY
APPLICATIONS
DO YOU USE?
(Revit or AutoCad + Showcase
+ 3Ds Max)
9. Recommended NVIDIAProfessional solution
GOOD BETTER BEST
DESIGN/ENGINEERING/MANUFACTURING CONTINUED
Dassault Systèmes SIMULIA Abaqus Desktop Maximus™ (NVIDIA®
Quadro®
K2000 +Tesla®
K20c) Maximus (Quadro K4000 + Tesla K20c) Maximus (Quadro K5000 + Tesla K20c)
Mobile Quadro K5000M N/A N/A
Dassault Systèmes Catia V5 and V6 Desktop Quadro K2000 Quadro K4000 Quadro K5000
Mobile Quadro K2000M Quadro K4000M Quadro K5000M
Dassault Systèmes Catia Live Rendering Desktop Quadro K5000 Maximus (Quadro K4000 + Tesla K20c) Maximus (Quadro K5000 + 2 x Tesla K20c)
Mobile Quadro K5000M Quadro K5000M Quadro K5000M
Dassault Systèmes SolidWorks Desktop Quadro K2000 Quadro K4000 Quadro K5000
Mobile Quadro K2000M Quadro K4000M Quadro K5000M
MathWorks MATLAB Desktop Maximus (Quadro K600 + Tesla K20c) Maximus (Quadro K4000 + Tesla K20c) Maximus (Quadro K5000 + Tesla K20c)
Mobile N/A N/A N/A
MSC Nastran Desktop Maximus (Quadro K2000 + Tesla K20c) Maximus (Quadro K4000 + Tesla K20c) Maximus (Quadro K5000 + Tesla K20c)
Mobile N/A N/A N/A
PTC Creo Desktop Quadro K2000 Quadro K4000 Quadro K5000
Mobile Quadro K2000M Quadro K4000M Quadro K5000M
Siemens NX Desktop Quadro K2000 Quadro K4000 Quadro K5000
Mobile Quadro K2000M Quadro K4000M Quadro K5000M
Which Quadro Solution is Right for Your Customer? ContINUED
MODELING/ANIMATION /VISUALIZATION/EFFECTS
Autodesk 3ds Max Desktop Quadro K2000 Quadro K4000 Quadro K5000
Mobile Quadro K2000M Quadro K4000M Quadro K5000M
Autodesk 3ds Max for Interactive Rendering Desktop Quadro K5000 Maximus (Quadro K5000 + Tesla K20c) Maximus (Quadro K5000 + 2 x Tesla K20c)
Mobile Quadro K5000M N/A N/A
Autodesk Maya® Desktop Quadro K4000 Quadro K5000 Quadro 6000
Mobile Quadro K4000M Quadro K5000M Quadro K5000M
Autodesk Maya for Interactive Rendering Desktop Quadro 6000 Maximus (Quadro K4000 + Tesla K20c) Maximus (Quadro K5000 + Tesla K20c)
Mobile Quadro K5000M N/A N/A
Bunkspeed SHOT, PRO, DRIVE Desktop Quadro K4000 Quadro K5000 Quadro 6000
Mobile Quadro K2000M/K3000M Quadro K4000M Quadro K5000M
Maxon CINEMA 4D Desktop Quadro K600 Quadro K2000 Quadro K4000
Mobile Quadro K1000M Quadro K2000M Quadro K4000M
N
VIDIA
QUADRO
10. Recommended NVIDIAProfessional solution
GOOD BETTER BEST
VIDEO EDITING
Adobe®
Premiere Pro® Desktop Quadro 2000 Quadro 4000 Maximus (Quadro 6000 + Tesla C2075)
Mobile Quadro 2000M Quadro 4000M Quadro 5000M
Avid®
Media Composer® Desktop Quadro 2000 Quadro 4000 Quadro 4000
Mobile Quadro 2000M Quadro 4000M Quadro 4000M
Grass Valley Edius® Desktop Quadro K600 Quadro K2000 Quadro K4000
Mobile Quadro K1000M Quadro K2000M Quadro K4000M
Sony Vegas Pro™ Desktop Quadro 600 Quadro 2000 Quadro 4000
Mobile Quadro 1000M Quadro 2000M Quadro 4000M
Which Quadro Solution is Right for Your Customer? ContINUED
OIL & GAS
Halliburton(Landmark)DecisionSpace®
, GeoProbe® Desktop Quadro K4000 Quadro K5000 Quadro 6000
Mobile Quadro K4000M Quadro K5000M Quadro K5000M
Paradigm Geophysical VoxelGeo® Desktop Quadro K5000 Quadro 6000 Maximus (Quadro 6000 + Tesla C2075)
Mobile Quadro K5000M N/A N/A
Paradigm Geophysical EarthStudy360® Desktop Quadro K4000 Quadro K5000 Quadro 6000
Mobile Quadro K4000M Quadro K5000M Quadro K5000M
Schlumberger Information Solutions Desktop Quadro K4000 Quadro K5000 Quadro 6000
Mobile Quadro K4000M Quadro K5000M Quadro K5000M
Seismic MicroTechnology Kingdom Suite Desktop Quadro K2000 Quadro K4000 Quadro K5000
Mobile Quadro K2000M Quadro K4000M Quadro K5000M
MODELING/ANIMATION /VISUALIZATION/EFFECTS CONTINUED
NewTek Lightwave™ Desktop NVIDIA®
Quadro®
K2000 Quadro K4000 Quadro K5000
Mobile Quadro K2000M Quadro K4000M Quadro K5000M
RTT DeltaGen/DeltaView/DeltaView+ Desktop Quadro K4000 Quadro K5000 Quadro 6000
Mobile Quadro K2000M/K3000M Quadro K4000M Quadro K5000M
Side Effects Houdini Desktop Quadro 6000 Maximus™ (Quadro K4000 + Tesla®
K20c) Maximus (Quadro K5000 + Tesla K20c)
Mobile Quadro K5000M N/A N/A
Adobe After Effects Desktop Quadro 2000 Quadro 4000 Maximus (Quadro 6000 + Tesla C2075)
Mobile Quadro 2000M Quadro 4000M Quadro 5000M
11. Quadro KEPLER FAMILY SPECIFICATIONS
Quadro
K5000
Quadro
K4000
Quadro
K2000/K2000D*
Quadro
K600
Quadro
410
# CUDA Cores 1536 768 384 192 192
Single Precision 2.166 TFLOPs 1.246 TFLOPs 733 GFLOPs 336 GFLOPs 271 GFLOPs
View Perf 11 66 53 41 26 19
Memory Size 4 GB + ECC 3 GB 2 GB 1 GB 512 MB
Memory BW 173 GB/s 134 GB/s 64 GB/s 29 GB/s 14 GB/s
Slots & Display
Connectors
2x DP + 2xDVI 2x DP + DVI Mini DP + 2x DVI* DP + DVI DP + DVI
Max # Display Support 4 4 4 2 2
Power Cables 1 x 6 pin required 1 x 6 pin required
Board Power 122 W 80 W 51 W 41 W 40 W
2x DP + DVI
*Quadro K2D is a variant of K2000 that incorporates dual DVI connectors and a mini DP.
N
VIDIA
QUADRO
12. DISPLAY CONNECTOR MATRIX
Quadro K5000
(max 4 native displays)
Quadro 6000/K4000/K2000
(6000: max 2 native displays
K4000/K2000: max 3 native displays)
Quadro K2000D
(max 3 native displays)
Quadro K600/410
(max 2 native displays)
Connector
1
Connector
2
Connector
3
Connector
4
Connector
1
Connector
2
Connector
3
Connector
1
Connector
2
Connector
3
Connector
1
Connector
2
DVI DVI DP DP DVI DP DP DVI DVI MiniDP DVI DP
DisplayPort ✓ ✓ ✓ ✓ mDP→DP
✓
DVI ✓ ✓ DP→DVI DP→DVI
✓ DP→DVI DP→DVI
✓ ✓ mDP→DVI
✓ DP→ DVI
HDMI DVI→HDMI DVI→HDMI DP→HDMI DP→HDMI DVI→HDMI DP→HDMI DP→HDMI DVI→HDMI DVI→HDMI mDP→HDMI DVI→HDMI DP→HDMI
VGA DVI→VGA DP→VGA DP→VGA DVI→VGA DP→VGA DP→VGA DVI→VGA mDP→VGA* DVI→VGA DP→VGA
ADAPTORS
DP→DVI
Up to 1920x1200 display resolution - use a DP to DVI-SL (single link) adapter
Above 1920x1200 display resolution - use a DP to DVI-DL (dual link) adapter
DP→HDMI
DP→VGA
DVI→VGA
DVI→HDMI
mDP→DP
mDP→DVI-SL
*Use a mDP→DP adaptor to connect the DP→HDMI or DP→VGA adaptor.
*
KEY ✓= Connect directly no adapter required.
Example: “DP→DVI” = Requires a DisplayPort to DVI adapter. “mDP→HDMI” = Requires a mini DisplayPort to HDMI adapter.
If you want to connect
a display with the
following cable
13. NVIDIA
®
TESLA
®
high-performance computing
NVIDIA TESLA GPU Accelerators consist of thousands of cores to quickly
compute large workloads, which make them perfect for accelerating scientific
and engineering applications that often run in server environments.
Which customers will benefit from Tesla?
KEY BENEFITS KEY BENEFITS
WHO TO TALK TO
IT MANAGERS Researchers & Application Users
GPUs deliver high performance and
capacity across many users, enabling:
> Maximum performance in a smaller
footprint
> More compute power for the budget:
Tesla GPUs accelerate a wide variety
of applications and
are optimized to
provide maximum
performance
per watt.
> Energy efficiency: GPUs are
inherently energy efficient,
making them ideal for increasing
performance in data centers
and running computationally
intensive science and engineering
applications.
GPUs accelerate computationally
intensive applications. By supporting
more and faster iterations, GPUs enable:
> Lower cost of innovation
> Faster innovation: For example,
molecular dynamics uses complex
computer simulations to study
physical interactions
of atoms and
molecules, which
can speed up
innovation in drug
discovery.
> Higher quality results
> Faster time to market
> Fewer expensive lab experiments
(can now be replaced by GPU-
powered simulations)
> Powerful simulation: For example,
Princeton University
researchers
are using GPUs
to simulate insect
behavior and save
crops from
destructive
locust swarms.
Research
> Biology
> Chemistry
> Engineering
> Math
> Physics
> Weather
Manufacturing
> Computer Aided Design
> Computer Aided
Engineering
Oil & Gas
> Seismic Processing
> Reservoir Simulation
> Seismic Interpretation
Defense
> Signal Processing
> Image Processing
> Video Analytics
Finance
> Risk Analytics
> Options & Equity
Pricing
> Insurance Annuity
Pricing
Medical & Life
Science Instruments
> Imaging & Analysis
Media & Entertainment
> Rendering
> Encoding & Digital Distribution
> Video Editing
> Color Correction
> Simulation
INDUSTRIES
N
VIDIA
TESLA
14. Top GPU-accelerated applications
Developer tools for proprietary applications
Customers with their own proprietary applications can also accelerate them with
GPUs. Direct your customer to NVIDIA’s extensive suite of developer tools at:
www.nvidia.com/parallelprogramming
Take a GPU for a free test drive!
Your customers can easily experience the performance of NVIDIA GPU
Accelerators by taking a free GPU Test Drive:
> Step 1: Register at www.nvidia.com/gputestdrive
> Step 2: Log into a remote server and try the latest GPU-accelerated
applications, or load the proprietary code.
Over 200 third-party applications have already been GPU-accelerated.
Here are some of the most popular ones. For the full list, visit
www.nvidia.com/appscatalog
Application
Performance
improvement
vs. CPU-only systems
Computational Chemistry
AMBER 89.44 Nanoseconds/day
GROMACS 165 Nanoseconds/day
LAMMPS 3-18x
NAMD 6.44 Nanoseconds/day
Q-CHEM 8-14x
Engineering
Abaqus / Standard 1.5-3x
ANSYS Mechanical 2-3x
AutoCAD Design Suite 2-4x +
CST Microwave Studio 9-20x
FluiDyna Culises OpenFOAM 3x
MSC Nastran 1.5-3x
Math/Physics
Chroma 9x
Mathematica Wolfram 2-20x
MATLAB 2-20x
MILC 5-6x
Defense
Digital Globe 12x
Intuvision Panoptes 12x
OpCoast SNEAK 100x
Oil & Gas
Acceleware RTM 14x
Headwave Suite 10-50x
Paradigm Echos RTM 14x
NVIDIA®
Tesla®
GPU Accelerators are ideal
for optimizing performance in small and
medium server clusters, as well as the world’s
most powerful supercomputers.
15. TERM DESCRIPTION
Assembly/Model An assembly is made up of a part of a physical product that contains multiple 3D sub-components
or models.
CAD Computer-aided design (CAD), also known as computer-aided drafting (CAD) or computer-aided
design and drafting (CADD), is the use of computer systems to assist in the creation, modification,
analysis, or optimization of a design. Computer-aided drafting describes the process of creating
a technical drawing with the use of computer software. CAD software is used to increase the
productivity of the designer, improve the quality of design, improve communications through
documentation, and to create a database for manufacturing.
CAE Computer-aided-engineering (CAE) is the broad usage of computer software to aid in engineering
tasks. For example, CAE systems are able to simulate a design under a variety of conditions to
see if it actually works.
Computational Simulations Computer simulation is the attempt to simulate through a computer model an abstract model
of a particular system, such as molecules and materials.
CUDA NVIDIA®
CUDA™ is a parallel computing platform and programming model invented by NVIDIA.
It enables dramatic increases in computing performance by harnessing the power of the graphics
processing unit (GPU).
DCC Digital content creation is a term that refers to the creation and modification of digital content,
such as animation, audio, graphics, images and video, as part of the production process before
presentation in its final form. This large field encompasses many segments such as 3D graphics,
audio editing, compositing, authoring, etc.
Directives OpenACC Allows programmers to provide simple hints, known as directives, to the compiler to accelerate
code. With OpenACC directives, the code remains portable across many-core GPUs and
multi-core CPUs.
Fermi NVIDIA®
Fermi is the code name for the NVIDIA GPU architecture that launched in 2009. NVIDIA
products built on the Fermi architecture have names such as Quadro 2000 or Tesla M2090, for example.
Frame Buffer Frame buffer is dedicated memory on the graphics card similar to that which is used to store
model geometry, textures, frames of video, etc.
GPU Graphics processing unit with hundreds of compute cores, initially used as graphic processors.
GPU Accelerator Now that GPUs have become programmable and computationally powerful, they are also used
to accelerate hundreds of scientific applications.
GPU Computing or GPU
Accelerated Computing
Use of a GPU (graphics processing unit) together with a CPU to accelerate general-purpose
scientific and engineering applications.
GPU Ray Tracing Use of the GPU to greatly accelerate ray trace rendering in solutions such as Iray, VRay-RT,
Octane, FinalRender, etc.
GPU Test Drive A free and easy way for customers to try GPUs through a remotely-hosted CPU + GPU server.
They can run popular applications, such as AMBER, NAMD or their own code.
HPC High-performance computing is the use of parallel processing for running advanced application
programs efficiently, reliably and fast.
Integrated Graphics Graphics hardware that is built into the CPU which shares both CPU hardware resources along
with system memory. Only sufficient for very basic applications like email or word processing.
ISV Independent software vendor, typically used to refer to professional software vendors such as
Autodesk, Adobe, or Dassault Systèmes.
GLOSSARY OF TERMS
Scientists studying
the physics of the
Big Bang need massive
computing power.
GPUs deliver 125x the
performance of other
systems.
Scientists using
GPU-powered systems
were able to crack the
genetic code behind a
deadly strain of E. coli.
GLOSSARY