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FastDeploy
FastDeploy is an inference and deployment toolkit for large language models and vision language models based on PaddlePaddle.
FastDeploy is an inference and deployment toolkit for large language models and vision language models based on PaddlePaddle. It provides production-grade deployment solutions with features such as load-balanced PD separation, unified KV cache transfer, and OpenAI API service compatibility. The toolkit supports various quantization formats, speculative decoding, and multiple hardware platforms including NVIDIA GPUs, Kunlunxin XPUs, and Hygon DCUs. It is designed for developers seeking to optimize model inference performance and resource utilization. The software is open source under the Apache-2.0 license.
FastDeploy at a glance
Key features
- Load-balanced PD separation with context caching
- Unified KV cache transfer library
- OpenAI API service and vLLM compatibility
- Quantization format support including W8A16 and FP8
- Advanced acceleration like speculative decoding and MTP
- Multi-hardware support for NVIDIA, XPU, DCU and more
Use it for
- Deploying large language models and vision language models
- Running offline inference and online services
- Optimizing multi-hardware inference performance
Alternatives to FastDeploy
- LMDeploy — Accelerates inference with high-performance engines and quantization tools.
- llm-d — Deploys production-grade LLM serving on existing hardware clusters.
- PaddleX — Provides standardized APIs and workflows for end-to-end model development.
- fast-agent — Improves agent accuracy and cost efficiency via MCP integration.
- Flyte — Resumes failed tasks automatically from the exact point of interruption.
- FastEmbed — It uses ONNX Runtime for high speed and does not require a GPU or PyTorch.
- Stagewise — Maintain full sovereignty over AI models while running agents in parallel.
- LightLLM — It delivers high-speed inference and serving performance for large language models.
- vLLM — Maximizes throughput with PagedAttention and continuous batching.
- fal — Access 1,000+ generative models and high-performance serverless GPUs.
- AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.
- Genkit — Provides unified APIs and local developer tools for AI application workflows.
All FastDeploy alternatives