llm-d/llm-d
Achieve state of the art inference performance with modern accelerators on Kubernetes
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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.
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Latest capture 2026-07-07 03:12
5 captures since 2026-05-23
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Scanned 2026-07-07 03:12
go.mod
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93 dependencies
go.sum
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124 dependencies
pkg/foreman/agent/testdata/mutation/weak/go.mod
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0 dependencies
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Achieve state of the art inference performance with modern accelerators on Kubernetes
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