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Tool profile

defilantech/LLMKube

stable

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.

aiapple-siliconautoscalingedge-computingggufgpuhomelabinference
Velocity score
0.72/ 10
[STARS]
162
[FORKS]
25
[CONTRIBUTORS]
11
[LAST_COMMIT]
today
OPEN_ON_GITHUB
Velocity class: stable
Is defilantech/LLMKube still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
680/ 1000
inference · defilantech/LLMKube
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
802
[INSTALL_VEL]
498
[ACTIVITY]
653
[COMMUNITY_SIGNAL]
632

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout