Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and full-stack tuning.
☆2,048Sep 27, 2026Updated last week
Alternatives and similar repositories for ai-performance-engineering
Users that are interested in ai-performance-engineering are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.☆4,099Sep 12, 2026Updated 3 weeks ago
- A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.☆5,237May 17, 2026Updated 4 months ago
- FlashInfer: Kernel Library for LLM Serving☆6,578Updated this week
- Material for gpu-mode lectures☆6,824Sep 9, 2026Updated last month
- GPU programming related news and material links☆2,371Jun 15, 2026Updated 3 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Nano vLLM☆15,753Apr 26, 2026Updated 5 months ago
- An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.☆12,052Updated this week
- A Datacenter Scale Distributed Inference Serving Framework☆8,251Updated this week
- Minimalistic 4D-parallelism distributed training framework for education purpose☆2,321Aug 26, 2025Updated last year
- My learning notes for ML SYS.☆7,445Sep 20, 2026Updated 2 weeks ago
- NVIDIA Inference Xfer Library (NIXL)☆1,293Updated this week
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆960Updated this week
- Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming☆823Updated this week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆8,536Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,547Sep 23, 2026Updated 2 weeks ago
- cuTile is a programming model for writing parallel kernels for NVIDIA GPUs☆2,154Updated this week
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,544Updated this week
- SGLang is a high-performance serving framework for large language models and multimodal models.☆36,925Updated this week
- A Quirky Assortment of CuTe Kernels☆1,166Sep 17, 2026Updated 3 weeks ago
- Tile primitives for speedy kernels☆3,746Sep 12, 2026Updated 3 weeks ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)☆1,283Mar 24, 2026Updated 6 months ago
- NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process com…☆596Updated this week
- Distributed Compiler and Optimized Parallel Kernels☆1,560Sep 18, 2026Updated 3 weeks ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆4,134Mar 11, 2026Updated 6 months ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆206Feb 11, 2026Updated 7 months ago
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆6,746Updated this week
- A kernel library written in tilelang☆1,940Sep 30, 2026Updated last week
- LMCache: Supercharge Your LLM with the Fastest KV Cache Layer☆11,985Updated this week
- Achieve state of the art inference performance with modern accelerators on Kubernetes☆4,778Updated this week
- Fastest kernels written from scratch☆627Aug 15, 2026Updated last month
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆893Sep 7, 2026Updated last month
- Perplexity GPU Kernels☆607Nov 7, 2025Updated 11 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Learn CUDA with PyTorch☆494Oct 3, 2026Updated last week
- NVIDIA curated collection of educational resources related to general purpose GPU programming.☆2,040Updated this week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆372Updated this week
- A pure-Python implementation of the Nvidia CuTe layout algebra intended to be approachable and easy to learn.☆253Jun 29, 2026Updated 3 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆93,455Updated this week
- Machine Learning Engineering Open Book☆19,430Updated this week
- This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".☆147Aug 15, 2026Updated last month