FlashKDA: high-performance Kimi Delta Attention kernels

MoonEP: A Perfectly Balanced Expert Parallelism Library via Dynamic Redundant Experts

OpenClaw-RL: Train any agent simply by talking

An LLM post-training framework with vLLM for RL Scaling

slime is an LLM post-training framework for RL Scaling.

A safetensors extension to efficiently store sparse quantized tensors on disk

MSCCL++: A GPU-driven communication stack for scalable AI applications

The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle)

Tile-based language built for AI computation across all scales

High-performance LLM operator library built on TileLang.

Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels

Tile-Based Runtime for Ultra-Low-Latency LLM Inference

A PyTorch native platform for training generative AI models

Source Han Sans | 思源黑体 | 思源黑體 | 思源黑體 香港 | 源ノ角ゴシック | 본고딕

The official repo for STCast (CVPR2026 Highlight).

MixFormer models for recommender systerm

Common recipes to run vLLM

🚀 Efficient implementations for emerging model architectures

NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmer…

An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System

DeepEP: an efficient expert-parallel communication library

NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmer…

Optimized primitives for collective multi-GPU communication

MSCCL++: A GPU-driven communication stack for scalable AI applications