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49–72 of 72 · Most stars

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.

A Flask extension to access, upload, download, save and delete files on cloud storage providers such as: AWS S3, Google Storage, Microsoft Azure, Rackspace Cloudfiles, and even Local file system

A Dockerfile generator for running OpenGL (GLX) applications with nvidia-docker2, CUDA, ROS, and Gazebo on a remote headless server system by using VirtualGL&VNC and Lubuntu Desktop

A developer CLI tool that manages .env files, detects secret leaks, syncs env drift across teammates, and validates environment parity between local/staging/prod all from your terminal. Written in Go.

The Coherence Go Client allows native Go applications to act as cache clients to a Coherence cluster using gRPC for the network transport.

  • coherence
  • coherence-ce
  • golang
  • grpc

This is a One-Click docker images and containers setup base which is doing via a lot of bash scripts. My primary target is embedded linux development and you can choose your target whatever you want. Have fun. Thank you for your starts.