Tile primitives for speedy kernels
☆3,563Jul 13, 2026Updated last week
Alternatives and similar repositories for ThunderKittens
Users that are interested in ThunderKittens 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 Quirky Assortment of CuTe Kernels☆1,070Updated this week
- FlashInfer: Kernel Library for LLM Serving☆6,032Updated this week
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,390Updated this week
- Kernels, of the mega variety :)☆786May 26, 2026Updated last month
- Distributed Compiler based on Triton for Parallel Systems☆1,498Updated this week
- 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.
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆6,908Updated this week
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,125Updated this week
- Accelerating MoE with IO and Tile-aware Optimizations☆732Jul 4, 2026Updated 3 weeks ago
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,345Aug 28, 2025Updated 10 months ago
- 🚀 Efficient implementations for emerging model architectures☆5,414Updated this week
- Development repository for the Triton language and compiler☆19,782Updated this week
- Efficient Triton Kernels for LLM Training☆6,533Updated this week
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆913Updated this week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,448Updated this week
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- DeepGEMM: clean and efficient BLAS kernel library on GPU☆7,558Updated this week
- Puzzles for learning Triton☆2,540Apr 1, 2026Updated 3 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,111Sep 4, 2024Updated last year
- Fast and memory-efficient exact attention☆24,531Updated this week
- A PyTorch native platform for training generative AI models☆5,559Updated this week
- A Easy-to-understand TensorOp Matmul Tutorial☆445Mar 5, 2026Updated 4 months ago
- GPU programming related news and material links☆2,239Jun 15, 2026Updated last month
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)☆1,156Mar 24, 2026Updated 4 months ago
- PyTorch native quantization and sparsity for training and inference☆2,914Updated this week
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Fast low-bit matmul kernels in Triton☆477Jul 15, 2026Updated last week
- cuTile is a programming model for writing parallel kernels for NVIDIA GPUs☆2,121Updated this week
- ☆270Jul 11, 2024Updated 2 years ago
- Helpful tools and examples for working with flex-attention☆1,212Updated this week
- Perplexity GPU Kernels☆593Nov 7, 2025Updated 8 months ago
- Fastest kernels written from scratch☆586Sep 18, 2025Updated 10 months ago
- Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.☆489Jul 5, 2026Updated 2 weeks ago
- Material for gpu-mode lectures☆6,355Jun 15, 2026Updated last month
- ☆193May 7, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A throughput-oriented high-performance serving framework for LLMs☆969Mar 29, 2026Updated 3 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆769Aug 6, 2025Updated 11 months ago
- Fast and Furious AMD Kernels☆446Jul 10, 2026Updated 2 weeks ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆362Updated this week
- SGLang is a high-performance serving framework for large language models and multimodal models.☆30,733Updated this week
- Open ABI and FFI for Machine Learning Systems☆436Updated this week
- Applied AI experiments and examples for PyTorch☆321Aug 22, 2025Updated 11 months ago