LLMKube

v0.8.9 Feature

This release adds 3 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 summary

Updates 0.8.9, Bug Fixes, and 2026-06-19 across a mixed release.

Full changelog

add vulkan accelerator enum and make readiness-check Vulkan-aware (#735) (76cf370)
cli: add --node-port to pin a stable NodePort on InferenceService (#737) (a6c1a03)
cli: add llmkube scale subcommand to scale InferenceService replicas (#736) (bdb89f8)
controller: vendor-neutral DRA (resource.k8s.io/v1) scheduling for InferenceService (#750) (6eb0f27)
foreman: deterministic coder verification gate with feedback loop (#749) (8cf3295)
foreman: loop convergence forcing (EditFreeStreak + final-turns submit) (#741) (cd3f068)

cli: correct --node-port help text and add NodePort test coverage (#742) (ef55900)
controller: honor GPU resourceName override in checkAcceleratorAvailability (#747) (5aa3152)
controller: honor RouterRule.Timeout in gateway-mode AIGatewayRoute generation (#748) (1978a72)
foreman: make install-foreman-agent produce a working plist (#743) (b946fef)
foreman: scope-overlap rail rescues honest paraphrase from false NO-GO (#746) (00ae36e)

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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.

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