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Stars
Notes of the book System Desgin Interview - An Insider's Guide
K8sQuest — A local, hands-on Kubernetes learning game with real-world troubleshooting challenges. Practice Pods, Deployments, Services, networking, storage, and debugging using kubectl on a local c…
GPU Engineering for AI Systems
LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
The World's First Unified Virtual Filesystem For AI Agents
A filesystem designed for agents, with SOTA retrieval, automatic memory profiles, sync engine. Drop any file type (pdf, images, videos), and grep through them.
Skills for Real Engineers. Straight from my .agents directory.
AGENTS.md — a simple, open format for guiding coding agents
A benchmark of real-world DL kernel problems
Personal space for learn and develop shaders
Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.
AI agents running research on single-GPU nanochat training automatically
GPU Cluster Monitoring (GCM): Large-Scale AI Research Cluster Monitoring
code for deep learning courses
The C++ Standard Library for Parallelism and Concurrency
GPU programming related news and material links
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Puzzles for learning Triton
This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…
⚡️ A curated list of awesome performance stories
FlashInfer: Kernel Library for LLM Serving
Playing around "Less Slow" coding practices in C++ 20, C, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and user-space IO
A Datacenter Scale Distributed Inference Serving Framework