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DLLMKube
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.
Popularity
Repository stars25232,222Highest
7-day net stars——
Fork432,098Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-032026-11-02
Maintenance notesNot verifiedNot verified
Repository created2025-11-122013-06-08
License & use
LicenseApache-2.0 · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeKubernetes operations · Self-hosted servicesContainers · Kubernetes operations · Self-hosted services
TypeApps & systemsApps & systems
SubcategoryOperationsOperations
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageGoGo
About this projectKubernetes 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.A docker-powered PaaS that helps you build and manage the lifecycle of applications
Measured at2026-11-03 08:28 UTC2026-11-02 18:59 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.