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169–192 of 320 · 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.

GitHub Actions runners on your own machines, one fresh container or VM per job. Completely eliminate your cloud CI bill.

Supporting your devops by shortening your strings using common abbreviations and clever guesswork

  • golang
  • go
  • abbreviations
  • common-abbreviations

Zero-code K8s sidecar for log sanitization. Detects secrets via Entropy Analysis, preserves JSON integrity, and redacts PII deterministically. 🛡️

Run performance tests in Kubernetes cluster with Kangal

  • kangal
  • open-source
  • wiz-foundations-release-engineering