🪽 An open, easy, fast, reliable and battery-efficient solution for real-time communications
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🪽 An open, easy, fast, reliable and battery-efficient solution for real-time communications
Heterogeneous GPU Sharing on Kubernetes
Build and run containers leveraging NVIDIA GPUs
tbls is a CI-Friendly tool to document a database, written in Go.
NVIDIA device plugin for Kubernetes
Sonobuoy is a diagnostic tool that makes it easier to understand the state of a Kubernetes cluster by running a set of Kubernetes conformance tests and other plugins in an accessible and non-destructive manner.
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
Web-based Cloud Gaming service for Retro Game
AIStore: scalable storage for AI applications
NVIDIA Kubernetes Engine (NVKE). A management plane for GPU Kubernetes on bare metal.
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
Simple but powerful dependency injection container for Go projects!