This release adds 7 notable features for engineering teams evaluating rollout.
Published 1mo
Containers & Orchestration
✓ No known CVEs patched
✓ 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 summaryUpdates 0.8.12, Bug Fixes, and 2026-06-21 across a mixed release.
Full changelog
0.8.12 (2026-06-21)
Features
- cli: download heartbeat for llmkube deploy --wait (#719) (#780) (e6f9774)
- cli: make cache list per-InferenceService cache aware (#731) (#767) (d03c9ee)
- controller: shield inference pods from disruption during startup (#660) (#781) (370084a)
- foreman: codegen-drift check in the coder fast gate (#775) (#778) (b04a28d)
- metal-agent: event-driven endpoint withdrawal/recovery on health transitions (#662) (#771) (7848d18)
- metal-agent: honor spec.runtime per-CR for multi-runtime dispatch (#525) (#783) (aa210c3)
- metrics: TTFT histogram, request error counter, vLLM metrics flag (#409) (#769) (563b0c9)
Bug Fixes
- controller: make checkAcceleratorAvailability DRA-aware (#754) (#776) (804063b)
- controller: preserve agent-written schedulingStatus on reconcile (#643) (#774) (4321028)
- controller: reconcileService updates existing Service on endpoint changes (#720) (#773) (70222ae)
- metal-agent: clear SchedulingStatus on memory-check-pass (#777) (#779) (ed1c4eb)
- metal-agent: prevent zero-byte stub files from failed model downloads (#642) (#772) (d737e47)
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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.
Beta — feedback welcome: [email protected]