Furiosa LLM

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Furiosa LLM#

Furiosa LLM is a high-performance inference engine for LLM and multi-modal LLM models. Furiosa LLM offers state-of-the-art serving efficiency and optimizations. Key features of Furiosa LLM include:

  • vLLM-compatible API (LLM, LLMEngine, AsyncLLMEngine API)

  • Efficient KV cache management with PagedAttention

  • Continuous batching of incoming requests

  • Quantization: INT4, INT8, FP8, GPTQ, AWQ

  • Support for data, tensor, and pipeline parallelism across multiple NPUs

  • OpenAI-compatible API server

  • Various decoding algorithms: greedy search, beam search, top-k/top-p, and speculative decoding (planned for 2025.1)

  • Support for context lengths of up to 32k

  • Integration with Hugging Face models and hub support

  • Hugging Face PEFT support (planned)

Documentation#

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