jd-opensource/xllm
A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
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Latest capture 2026-10-08 03:09
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A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.
A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators. It is hosted in OpenAtom Foundation.
scikit-learn: machine learning in Python
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Deep learning library featuring a higher-level API for TensorFlow.
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.