Achieve state of the art inference performance with modern accelerators on Kubernetes
Run large language models efficiently on Kubernetes, achieving top performance with various hardware accelerators.
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llm-d has 4.3k stars on GitHub. It has been forked 733 times. llm-d is written mainly in Shell. It has been in active development since 2025. llm-d is available under the Apache-2.0 license. Its main topics are ai, cncf, distributed-inference, gpu.
Achieve state of the art inference performance with modern accelerators on Kubernetes
llm-d is an open-source project. It is released under the Apache-2.0 license.
Yes. llm-d is free and open source — you can use, modify and self-host it.
llm-d is available under the Apache-2.0 license.
llm-d is written mainly in Shell.
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