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Presentation
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Abstract:
Red Hat Virtualization is an open platform that is built on Kernel-based Virtual Machine (KVM), one of several hypervisors supporting NVIDIA vGPU integration. Learn about RHV installation, the NVIDIA vGPU host driver, deployment of guest VMs with single and multiple vGPU enablement, as well as NVIDIA GRID license manager. 
Red Hat Virtualization is an open platform that is built on Kernel-based Virtual Machine (KVM), one of several hypervisors supporting NVIDIA vGPU integration. Learn about RHV installation, the NVIDIA vGPU host driver, deployment of guest VMs with single and multiple vGPU enablement, as well as NVIDIA GRID license manager.   Back
 
Topics:
GPU Virtualization, AI in Healthcare
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9299
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Abstract:
Learn about the fundamental expectations, planning, and implementation considerations for a VDI by Day/Compute by Night environment. We'll present a basic architecture featuring GPU virtualization and show how to apply the architecture to multiple domain types.
Learn about the fundamental expectations, planning, and implementation considerations for a VDI by Day/Compute by Night environment. We'll present a basic architecture featuring GPU virtualization and show how to apply the architecture to multiple domain types.  Back
 
Topics:
GPU Virtualization, Computer Aided Engineering
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9670
Streaming:
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Abstract:
Universities have increasing demand for Deep Learning/AI classrooms or labs but are constrained by cost and availability of physical classroom labs. Students require access to a lab 24x7 to work on projects and assignments and find that they have to wait for HPC clusters to be free when submitting their jobs for training. In the past, students and researchers are tethered and require expensive data scientist workstations. Virtual GPUs provide a highly secure, flexible, accessible solution to power AI and deep learning coursework and research. Learn how Nanjing University is using virtual vGPUs with NGC for teaching AI and Deep learning courses, empowering researchers with the GPU power they need, and providing students with mobility to do coursework anywhere. Similarly, discover how other universities are maximizing their data center resources by running VDI, HPC and AI workloads on common infrastructure and even how companies like Esri are using virtualized deep learning classes to educate their user base. Discover the benefits of vGPUs for AI and how you can setup your environment to achieve optimum performance, as well as the tools you can use to manage and monitor your environment as you scale.
Universities have increasing demand for Deep Learning/AI classrooms or labs but are constrained by cost and availability of physical classroom labs. Students require access to a lab 24x7 to work on projects and assignments and find that they have to wait for HPC clusters to be free when submitting their jobs for training. In the past, students and researchers are tethered and require expensive data scientist workstations. Virtual GPUs provide a highly secure, flexible, accessible solution to power AI and deep learning coursework and research. Learn how Nanjing University is using virtual vGPUs with NGC for teaching AI and Deep learning courses, empowering researchers with the GPU power they need, and providing students with mobility to do coursework anywhere. Similarly, discover how other universities are maximizing their data center resources by running VDI, HPC and AI workloads on common infrastructure and even how companies like Esri are using virtualized deep learning classes to educate their user base. Discover the benefits of vGPUs for AI and how you can setup your environment to achieve optimum performance, as well as the tools you can use to manage and monitor your environment as you scale.  Back
 
Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9888
Streaming:
Download:
Share:
 
 
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