CUDA Templates and Python DSLs for High-Performance Linear Algebra

Lightweight coding agent that runs in your terminal

FinOps and cloud cost optimization tool. Supports AWS, Azure, GCP, Alibaba Cloud and Kubernetes.

Production-grade client-side tracing, profiling, and analysis for complex software systems.

A workload for deploying LLM inference services on Kubernetes

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

No fortress, purely open ground. OpenManus is Coming.

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without …

One stop shop for running AI/ML on AWS.

Scripts for managing a large H100 cluster and fixing hardware issues to ensure smooth model training.

Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs

Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering

Build Container Images In Kubernetes

Example models using DeepSpeed

Ongoing research training transformer models at scale

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

NCCL Tests

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

The reference implementation of the Linux FUSE (Filesystem in Userspace) interface

Easily check your clusters for use of deprecated APIs

eBPF Observability - Distributed Tracing and Profiling

为键盘工作者设计的单词记忆与英语肌肉记忆锻炼软件 / Words learning and English muscle memory training software designed for keyboard workers

KrakenD Community Edition: High-performance, stateless, declarative, API Gateway written in Go.

Autoscaling components for Kubernetes

Terraform State → Ansible Dynamic Inventory

KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

An embedded key/value database for Go.

 This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.