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LLMKube

v0.8.23 Feature

This release adds 3 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 0.8.23, Bug Fixes, and 2026-07-01 across a mixed release.

Full changelog

0.8.23 (2026-07-01)

Features

  • controller: defer rollouts until idle (#913) (aa404ff)
  • expose oMLX TurboQuant KV cache quantization settings (#905) (68e0291)
  • foreman: controller/metal-agent runtime-arg parity guard (#918) (92d3c1b)
  • foreman: propagate gateProfile from Workload to decomposed tasks (#920) (270b2fa)
  • foreman: reference-grounding check in the coder gate (#906) (6296496)

Bug Fixes

  • cache hf:// multi-file models instead of emptyDir (#912) (8e69d74)
  • foreman: recover str_replace from near-miss old_string (#917) (4ce29e8)
  • grant events.k8s.io to the operator event recorder (#914) (5b23c4b)

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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]