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Multi-Instance GPU: Difference between revisions
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Many programs are unable to fully use modern GPUs such as NVidia [https://www.nvidia.com/en-us/data-center/a100/ A100s] and [https://www.nvidia.com/en-us/data-center/h100/ H100s]. | Many programs are unable to fully use modern GPUs such as NVidia [https://www.nvidia.com/en-us/data-center/a100/ A100s] and [https://www.nvidia.com/en-us/data-center/h100/ H100s]. | ||
[https://www.nvidia.com/en-us/technologies/multi-instance-gpu/ Multi-Instance GPU (MIG)] is a technology that allows partitioning a single GPU into multiple [https://docs.nvidia.com/datacenter/tesla/mig-user-guide/index.html#terminology instances], making each one a completely independent virtual GPU. | [https://www.nvidia.com/en-us/technologies/multi-instance-gpu/ Multi-Instance GPU (MIG)] is a technology that allows partitioning a single GPU into multiple [https://docs.nvidia.com/datacenter/tesla/mig-user-guide/index.html#terminology instances], making each one a completely independent virtual GPU. | ||
Each of the GPU's instances gets a slice of the | Each of the GPU's instances gets a slice of the original GPU's computational resources and memory, all detached from the other instances by on-chip protections. | ||
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