GTC ON-DEMAND

 
SEARCH SESSIONS
SEARCH SESSIONS

Search All
 
Refine Results:
 
Year(s)

SOCIAL MEDIA

EMAIL SUBSCRIPTION

 
 

GTC ON-DEMAND

Presentation
Media
Abstract:

Learn how to run GPU workloads securely in isolated unprivileged containers across a multi-node LXD cluster. We'll explain what unprivileged containers are and why they're safe, and then use demos to show how the power of LXD can be used to create a whole cluster of unprivileged containers that are isolated from each other. We will also show how LXD makes it trivial to pass through physical GPUs to containers and how it exposes a wide range of NVIDIA-specific options by leveraging NVIDIA's libnvidia-container library. This way each container can easily get a dedicated GPU or GPUs to run workloads. This session will help participants understand how running GPU-Intensive workloads can be effortless with the help of a dedicated container manager that is aware of NVIDIA-specific features.

Learn how to run GPU workloads securely in isolated unprivileged containers across a multi-node LXD cluster. We'll explain what unprivileged containers are and why they're safe, and then use demos to show how the power of LXD can be used to create a whole cluster of unprivileged containers that are isolated from each other. We will also show how LXD makes it trivial to pass through physical GPUs to containers and how it exposes a wide range of NVIDIA-specific options by leveraging NVIDIA's libnvidia-container library. This way each container can easily get a dedicated GPU or GPUs to run workloads. This session will help participants understand how running GPU-Intensive workloads can be effortless with the help of a dedicated container manager that is aware of NVIDIA-specific features.

  Back
 
Topics:
Data Center & Cloud Infrastructure, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9274
Streaming:
Download:
Share:
 
Abstract:
Learn how to use containers for efficient GPU utilization to achieve bare-metal performance for computationally intensive workloads. We'll show how NVIDIA tools and libraries can be used to achieve drop-in GPU support and efficient GPU feature integration for container runtimes, and illustrate how to leverage system containers to run complex statistical models on NVIDIA GPUs.
Learn how to use containers for efficient GPU utilization to achieve bare-metal performance for computationally intensive workloads. We'll show how NVIDIA tools and libraries can be used to achieve drop-in GPU support and efficient GPU feature integration for container runtimes, and illustrate how to leverage system containers to run complex statistical models on NVIDIA GPUs.  Back
 
Topics:
Data Center & Cloud Infrastructure, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8338
Streaming:
Download:
Share:
 
 
Previous
  • Amazon Web Services
  • IBM
  • Cisco
  • Dell EMC
  • Hewlett Packard Enterprise
  • Inspur
  • Lenovo
  • SenseTime
  • Supermicro Computers
  • Synnex
  • Autodesk
  • HP
  • Linear Technology
  • MSI Computer Corp.
  • OPTIS
  • PNY
  • SK Hynix
  • vmware
  • Abaco Systems
  • Acceleware Ltd.
  • ASUSTeK COMPUTER INC
  • Cray Inc.
  • Exxact Corporation
  • Flanders - Belgium
  • Google Cloud
  • HTC VIVE
  • Liqid
  • MapD
  • Penguin Computing
  • SAP
  • Sugon
  • Twitter
Next