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LLMKube

v0.8.11 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai apple-silicon autoscaling edge-computing gguf gpu
+12 more
self-hosted inference kubernetes llama-cpp llm local-llm metal mlx multi-gpu nvidia tgi vllm

Summary

AI summary

Updates Bug Fixes, 0.8.11, and 2026-06-20 across a mixed release.

Full changelog

0.8.11 (2026-06-20)

Features

  • ci: publish Helm charts as OCI artifacts to GHCR (#758) (da07772)
  • foreman: add unit-test tier to coder gate (#763) (dfb3d75)
  • foreman: per-Agent contextStrategy with session mode (stable cache-friendly prefix) (#757) (3b1ea1c)

Bug Fixes

  • ci: pin GitHub Actions to commit SHAs in helm-chart workflow (#751) (e1a5b9e)
  • foreman: scope coder-gate golangci-lint cache per workspace (#760) (cee04e8)
  • router: inject backend Model on dispatch so fallback chains degrade (#766) (bee7f1c)

Documentation

  • add Strix Halo node onboarding quickstart (#724) (b1859f0)

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About LLMKube

Kubernetes operator for llama.cpp-native LLM inference with GPU scheduling, Apple Silicon Metal support, and OpenAI-compatible API.

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Related context

Earlier breaking changes

  • v0.8.1 foreman: requestTimeoutSeconds now sets loop-wide budget, default changes from 600 to 3600.

Beta — feedback welcome: [email protected]