llm-d benchmark scripts and tooling

SYCL* Templates for Linear Algebra (SYCL*TLA) - SYCL based CUTLASS implementation for Intel GPUs

Inference scheduler for llm-d

Distributed KV cache scheduling & offloading libraries

Accessible large language models via k-bit quantization for PyTorch.

AIPerf is a comprehensive benchmarking tool that measures the performance of generative AI models served by your preferred inference solution.

Achieve state of the art inference performance with modern accelerators on Kubernetes

Offline optimization of your disaggregated Dynamo graph

vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization

The vLLM XPU kernels for Intel GPU

📰 Must-read papers and blogs on Speculative Decoding ⚡️

DeepEP: an efficient expert-parallel communication library

A high-throughput and memory-efficient inference and serving engine for LLMs

A Datacenter Scale Distributed Inference Serving Framework

The simplest, fastest repository for training/finetuning small-sized VLMs.

A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations

Real time interactive streaming digital human

Open Source framework for voice and multimodal conversational AI

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

FlashInfer: Kernel Library for LLM Serving

Fast inference from large lauguage models via speculative decoding

An Application Framework for AI Engineering

[CVPR 2025] EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation

[ICCV 2025] LLaVA-CoT, a visual language model capable of spontaneous, systematic reasoning

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