A Deep Dive on Supporting Multi-Instance GPUs in Containers and Kubernetes

A Deep Dive on Supporting Multi-Instance GPUs in Containers and Kubernetes

CNCF [Cloud Native Computing Foundation] via YouTube Direct link

Intro

1 of 12

1 of 12

Intro

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A Deep Dive on Supporting Multi-Instance GPUs in Containers and Kubernetes

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  1. 1 Intro
  2. 2 GPUS AND KUBERNETES Seamlessly scale up training and inference to a cluster of GPU machines
  3. 3 WHAT ARE MULTI-INSTANCE GPUs? Slices of a full GPU with dedicated memory and compute resources
  4. 4 OUTLINE
  5. 5 MULTI-INSTANCE GPUs (MIG)
  6. 6 GPUS AND CONTAINERS The NVIDIA Container Toolkit
  7. 7 GPUS AND KUBERNETES Allocate GPUs to pods in a Kubernetes Cluster
  8. 8 MIG IN CONTAINERS AND KUBERNETES
  9. 9 SYSTEM LEVEL INTERFACE FOR MIG
  10. 10 CHALLENGES WITH MIG PARTITIONING How do I create a MG Device in the first place?
  11. 11 MIG PARTITION EDITOR
  12. 12 SUMMARY AND CONCLUSION

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