A high-throughput and memory-efficient inference and serving engine for LLMs
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Updated
Jul 13, 2026 - Python
A high-throughput and memory-efficient inference and serving engine for LLMs
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Making large AI models cheaper, faster and more accessible
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Machine Learning Engineering Open Book
Large Language Model Text Generation Inference
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
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.
Easily fine-tune, evaluate and deploy Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, or any open source LLM / VLM!
💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
A framework for efficient model inference with omni-modality models
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
Superduper: End-to-end framework for building custom AI applications and agents.
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
An easy to use PyTorch to TensorRT converter
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