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GTC ON-DEMAND

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Abstract:

Migrating and building solutions in the cloud is challenging, expensive and not nearly as performant. Oracle Cloud Infrastructure (OCI) has been working with NVIDIA on giving you the on-premises performance you need with the cloud benefits and flexibility you expect. In this session we'll discuss how you can take big data and analytics workloads, database workloads, or traditional enterprise HPC workloads that require multiple components along with a portfolio of accelerated hardware and not only migrate them to the cloud, but run them successfully. We'll discuss solution architectures, showcase demos, benchmarks and take you through the cloud migration journey. We'll detail the latest instances that OCI provides, along with cloud-scale services.

Migrating and building solutions in the cloud is challenging, expensive and not nearly as performant. Oracle Cloud Infrastructure (OCI) has been working with NVIDIA on giving you the on-premises performance you need with the cloud benefits and flexibility you expect. In this session we'll discuss how you can take big data and analytics workloads, database workloads, or traditional enterprise HPC workloads that require multiple components along with a portfolio of accelerated hardware and not only migrate them to the cloud, but run them successfully. We'll discuss solution architectures, showcase demos, benchmarks and take you through the cloud migration journey. We'll detail the latest instances that OCI provides, along with cloud-scale services.

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Topics:
Data Center & Cloud Infrastructure, Performance Optimization
Type:
Sponsored Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S91026
Streaming:
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Abstract:
You'd imagine with the growth of the public cloud that majority of the HPC workloads and applications would have transitioned to the cloud however almost all enterprise HPC workloads are still running in on-premises datacenters; which means millions of mission critical use-cases such as engineering cash simulations and cancer research are still constrained by on-premise environments. Learn how Oracle Cloud Infrastructure is solving these problems with cutting edge GPU and HPC infrastructure along with datacenter level features that make it more attractive for Enterprises to migrate; allowing new use-cases such as using data from Oracle databases to run deep learning training instantly adding more value to your data and business. This is a session not to be missed! 
You'd imagine with the growth of the public cloud that majority of the HPC workloads and applications would have transitioned to the cloud however almost all enterprise HPC workloads are still running in on-premises datacenters; which means millions of mission critical use-cases such as engineering cash simulations and cancer research are still constrained by on-premise environments. Learn how Oracle Cloud Infrastructure is solving these problems with cutting edge GPU and HPC infrastructure along with datacenter level features that make it more attractive for Enterprises to migrate; allowing new use-cases such as using data from Oracle databases to run deep learning training instantly adding more value to your data and business. This is a session not to be missed! 
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Topics:
Cloud Computing
Type:
Talk
Event:
Supercomputing
Year:
2018
Session ID:
SC1829
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Abstract:
With traditional performance intensive workloads transitioning to the cloud and new workloads such as deep learning relying on cloud resources, it''s imperative to optimize the environment to squeeze every ounce of performance from the NVIDIA GPUs as possible. Learn how levers like bare-metal servers, a true flat network and high-performance storage can really accelerate workloads utilizing NVIDIA GPUs in the cloud. See live demos and walkthrough of how easy it is to launch your very own GPU cluster in Oracle Cloud Infrastructure. Additionally learn about new announcements on Oracle Cloud Infrastructure in partnership with NVIDIA. This is a session not to be missed!
With traditional performance intensive workloads transitioning to the cloud and new workloads such as deep learning relying on cloud resources, it''s imperative to optimize the environment to squeeze every ounce of performance from the NVIDIA GPUs as possible. Learn how levers like bare-metal servers, a true flat network and high-performance storage can really accelerate workloads utilizing NVIDIA GPUs in the cloud. See live demos and walkthrough of how easy it is to launch your very own GPU cluster in Oracle Cloud Infrastructure. Additionally learn about new announcements on Oracle Cloud Infrastructure in partnership with NVIDIA. This is a session not to be missed!  Back
 
Topics:
Data Center & Cloud Infrastructure
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8978
Streaming:
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Abstract:

Learn how you can scale your Deep Learning & traditional HPC-based workloads in Azure using powerful NVIDIA Tesla-based GPUs and scale out using Azure's low-latency networking backed by InfiniBand infrastructure. This is a great session to learn about Azure's accelerated offerings and roadmap in the future. This session will cover specific announcements on what's to come in both hardware and software. This is a session you don't want to miss! 

Learn how you can scale your Deep Learning & traditional HPC-based workloads in Azure using powerful NVIDIA Tesla-based GPUs and scale out using Azure's low-latency networking backed by InfiniBand infrastructure. This is a great session to learn about Azure's accelerated offerings and roadmap in the future. This session will cover specific announcements on what's to come in both hardware and software. This is a session you don't want to miss! 

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Topics:
Data Center & Cloud Infrastructure, Artificial Intelligence and Deep Learning, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7204
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Abstract:

Learn how you can easily provision cloud-based workstations and VDI infrastructure to provide designers, engineers and scientists the ability to create high fidelity models, designs and visualizations. Powered by NVIDIA's Tesla GPUs and NVIDIA GRID capabilities you can run hardware accelerated applications to design the next concept car or industrial parts or even creating the next Hollywood blockbuster. Hear about customer stories and learn about partner solutions that enable anyone to have a high end workstation in their back pocket!

Learn how you can easily provision cloud-based workstations and VDI infrastructure to provide designers, engineers and scientists the ability to create high fidelity models, designs and visualizations. Powered by NVIDIA's Tesla GPUs and NVIDIA GRID capabilities you can run hardware accelerated applications to design the next concept car or industrial parts or even creating the next Hollywood blockbuster. Hear about customer stories and learn about partner solutions that enable anyone to have a high end workstation in their back pocket!

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Topics:
Data Center & Cloud Infrastructure, Accelerated Data Science, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7205
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Abstract:

Learn how you can scale you’re your traditional HPC based applications or workloads in Azure utilizing NVIDIA’s powerful Tesla based GPUs and Azure’s low latency networking. Additoinally learn how our customers are running Deep Learning and AI workloads utilizing these GPUs in Azure to create the best speech recognition models, Natural language processing or image/object detection for scenarios such as digital assistants or autonomous cars. 

Learn how you can scale you’re your traditional HPC based applications or workloads in Azure utilizing NVIDIA’s powerful Tesla based GPUs and Azure’s low latency networking. Additoinally learn how our customers are running Deep Learning and AI workloads utilizing these GPUs in Azure to create the best speech recognition models, Natural language processing or image/object detection for scenarios such as digital assistants or autonomous cars. 

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Topics:
HPC and Supercomputing, Artificial Intelligence and Deep Learning
Type:
Talk
Event:
Supercomputing
Year:
2016
Session ID:
SC6111
Streaming:
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Abstract:

Learn how you can easily provision cloud-based workstations to provide designers, engineers and scientists the ability to create high fidelity models, designs and visualizations. Powered by NVIDIA’s Tesla GPUs and NVIDIA GRID capability you can run hardware accelerated applications to design the next concept car or industrial parts or even creating the next animation blockbuster. Learn more about Altair who have released their SolidThinking Inspire application for manufacturing and automotive customers to create industrial designs. 

Learn how you can easily provision cloud-based workstations to provide designers, engineers and scientists the ability to create high fidelity models, designs and visualizations. Powered by NVIDIA’s Tesla GPUs and NVIDIA GRID capability you can run hardware accelerated applications to design the next concept car or industrial parts or even creating the next animation blockbuster. Learn more about Altair who have released their SolidThinking Inspire application for manufacturing and automotive customers to create industrial designs. 

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Topics:
HPC and Supercomputing, Artificial Intelligence and Deep Learning
Type:
Talk
Event:
Supercomputing
Year:
2016
Session ID:
SC6112
Streaming:
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Abstract:
This talk will cover the recently announced state-of-the-art GPU visualization and compute infrastructure in Microsoft's Azure cloud, the session will cover how you can leverage them for rendering, encoding, visualization and dynamic creation of assets. This session is aimed at folks who would like to learn more about how to utilize and leverage Azure for their production pipelines.
This talk will cover the recently announced state-of-the-art GPU visualization and compute infrastructure in Microsoft's Azure cloud, the session will cover how you can leverage them for rendering, encoding, visualization and dynamic creation of assets. This session is aimed at folks who would like to learn more about how to utilize and leverage Azure for their production pipelines.  Back
 
Topics:
Best of GTC Theater
Type:
Talk
Event:
SIGGRAPH
Year:
2016
Session ID:
SIG1635
Streaming:
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Abstract:

This talk will cover the recently announced state-of-the-art GPU visualization and compute infrastructure in Microsoft's Azure cloud including how the GPUs are exposed using new capabilities in Hyper-V as part of Microsoft Server 2016, more importantly, the session will cover how you can leverage deep learning libraries such as CNTK on the N-Series GPUs. CNTK is an open source computational network toolkit that is designed for single GPU and Multi-GPU scenarios and is a highly flexible toolkit. This session is aimed at folks who would like to learn more about how to utilize and leverage Azure for deep learning, simulation, HPC, visualizing Open GL and DirectX applications.

This talk will cover the recently announced state-of-the-art GPU visualization and compute infrastructure in Microsoft's Azure cloud including how the GPUs are exposed using new capabilities in Hyper-V as part of Microsoft Server 2016, more importantly, the session will cover how you can leverage deep learning libraries such as CNTK on the N-Series GPUs. CNTK is an open source computational network toolkit that is designed for single GPU and Multi-GPU scenarios and is a highly flexible toolkit. This session is aimed at folks who would like to learn more about how to utilize and leverage Azure for deep learning, simulation, HPC, visualizing Open GL and DirectX applications.

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Topics:
Data Center & Cloud Infrastructure, Artificial Intelligence and Deep Learning, Video & Image Processing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6839
Streaming:
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