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InftyAI / llmaz

☸️ Easy, advanced inference platform for large language models on Kubernetes. 🌟 Star to support our work!

Why this job: topics: llamacpp, ollama, vllm, inference

What it does

  • Easy of Use. People can quick deploy a LLM service with minimal configurations.
  • Broad Backends Support. llmaz supports a wide range of advanced inference backends for different scenarios, like vLLM, Text-Generation-Inference, SGLang, llama.cpp, TensorRT-LLM. Find the full list of supported backends here.
  • Heterogeneous Cluster Support. llmaz supports serving the same LLM with heterogeneous devices together with InftyAI Scheduler for the sake of cost and performance.
  • Various Model Providers. llmaz supports a wide range of model providers, such as HuggingFace, ModelScope, ObjectStores. llmaz will automatically handle the model loading, requiring no effort from users.
  • Distributed Inference. Multi-host & homogeneous xPyD support with LWS from day 0. Will implement the heterogeneous xPyD in the future.

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 2 months ago
Stars
314
On GitHub
Licence
Apache-2.0
Allows business use
Downloads for
None listed
No release files
Latest version
v0.1.4
Released 17 months ago
Built with
Go
89% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
75% closed
39 still open
Pull requests
312 merged
14 waiting
Releases
14
0 in the last year

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More: languages, topics and project record

Languages

  • Go 89%
  • Makefile 5%
  • Python 3%
  • Go Template 1%

Topics

  • huggingface
  • inference
  • inference-platform
  • kubernetes
  • llamacpp
  • llm
  • modelscope
  • ollama
  • sglang
  • text-generation-inference
  • vllm

Project record

  • JobLocal LLMs
  • StatusListed
  • Commits522
  • Forks48
  • Watching8
  • Stars in 28 days0
  • CreatedNov 20, 2023
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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