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SaaSHub
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aws-virtual-gpu-device-plugin reviews and mentions
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Share a GPU between pods on AWS EKS
This project (available here) uses the k8s device plugin described by this AWS blog post to make GPU-based nodes publish the amount of GPU resource they have available. Instead of the amount of VRAM available or some abstract metric, this plugin advertises the amount of pods/processes that can be connected to the GPU. This is controlled by what is called by NVIDIA as Multi-Process Service (MPS).
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[D] Serverless solutions for GPU inference (if there's such a thing)
AWS has apparently already started using this type of tech as of this year (see lost below). They mention virtual gpus but this particular solution probably won't help OP unfortunately. https://aws.amazon.com/blogs/opensource/virtual-gpu-device-plugin-for-inference-workload-in-kubernetes/
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AWS open source news and updates No.41
The post explores GPU device plugin to address how to set fractional number of GPU resource for each pod by implementing the Kubernetes device plugin and Nvidia MPS. This project has been open sourced on GitHub.
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A note from our sponsor - SaaSHub
www.saashub.com | 29 Mar 2024
Stats
awslabs/aws-virtual-gpu-device-plugin is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of aws-virtual-gpu-device-plugin is Jupyter Notebook.
Popular Comparisons
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