aws-virtual-gpu-device-plugin
aws-oidc
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aws-virtual-gpu-device-plugin | aws-oidc | |
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3 | 1 | |
132 | 14 | |
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0.0 | 9.5 | |
over 1 year ago | 2 days ago | |
Jupyter Notebook | Go | |
Apache License 2.0 | MIT License |
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aws-virtual-gpu-device-plugin
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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.
aws-oidc
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AWS open source news and updates No.41
aws-oidc is an open source command-line utility tool for generating temporary AWS STS credentials. The current project contains sample configurations and currently requires Okta as the identity provider. Annie Ku has put together a post to help you get started, in Federated AWS Access
What are some alternatives?
kserve - Standardized Serverless ML Inference Platform on Kubernetes
aws-sdk-js-v3 - Modularized AWS SDK for JavaScript.
aws-eks-share-gpu - How to share the same GPU between pods on AWS EKS
kube-secret-syncer - A Kubernetes operator to sync secrets from AWS Secrets Manager
k8s-device-plugin - NVIDIA device plugin for Kubernetes
cfn-diagram - CLI tool to visualise CloudFormation/SAM/CDK stacks as visjs networks, draw.io or ascii-art diagrams.
determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
axis-aws-rekognition - This project is a POC of using AWS Rekognition service over persistent and secure MQTT using client certificate with axis cameras (Requires firmware version 10+). Secure MQTT is used instead of HTTPS to get less overhead with connection setup
terraform-provider-kubernetes - Terraform Kubernetes provider
booster - Software development framework specialized in building highly scalable microservices with CQRS and Event-Sourcing. It uses the semantics of the code to build a fully working GraphQL API that supports real-time subscriptions.
aws-auto-cleanup - Programmatically delete AWS resources based on an allowlist and time to live (TTL) settings