Agentic Kernel Optimization for All — automated GPU kernel optimization for any kernel, any hardware, any language
☆380Sep 15, 2026Updated last month
Alternatives and similar repositories for AKO4ALL
Users that are interested in AKO4ALL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Agentic Kernel Optimization — advanced & eXtensible: a closed-loop, campaign-based multi-agent system for optimizing GPU kernels (benchma…☆86Sep 15, 2026Updated last month
- Kernel Design Agents (KDA) is a agent-centric workflow to write high-performance CUDA Kernels.☆1,541Oct 19, 2026Updated 2 weeks ago
- ☆540Aug 26, 2026Updated 2 months ago
- ☆174Aug 8, 2026Updated 2 months ago
- ☆310Sep 5, 2026Updated 2 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.
- ☆274Oct 14, 2026Updated 3 weeks ago
- Automated CUDA kernel performance diagnostics from NVIDIA Nsight Compute (NCU) CSV exports.☆36Mar 18, 2026Updated 7 months ago
- A benchmark of real-world DL kernel problems☆332Jul 15, 2026Updated 3 months ago
- Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.☆1,620Updated this week
- Skills for writing tilelang and debugging with CUDA toolkits.☆149Updated this week
- A CUDA kernel optimization toolkit for validation, benchmarking, Nsight Compute profiling, bottleneck analysis, and iterative tuning. It …☆218Sep 5, 2026Updated 2 months ago
- ☆1,117Updated this week
- High Performance LLM Inference Operator Library☆1,189Sep 7, 2026Updated 2 months ago
- Autonomous GPU Kernel Generation & Optimization via Deep Agents☆619Sep 8, 2026Updated last month
- 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.
- PTX ISA 9.1 documentation converted to searchable markdown. Includes Claude Code skill for CUDA development.☆231Dec 24, 2025Updated 10 months ago
- Distributed Compiler and Optimized Parallel Kernels☆1,577Sep 18, 2026Updated last month
- ☆143Jun 13, 2026Updated 4 months ago
- An end-to-end agent project for GPU kernel implementation, analysis, profiling, and iterative optimization. It helps an agent turn PyTorc…☆206Updated this week
- A Quirky Assortment of CuTe Kernels☆1,189Oct 30, 2026Updated last week
- Tile-Based Runtime for Ultra-Low-Latency LLM Inference☆1,887Sep 24, 2026Updated last month
- FlashInfer: Kernel Library for LLM Serving☆6,866Updated this week
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)☆1,318Mar 24, 2026Updated 7 months ago
- Building the Virtuous Cycle for AI-driven LLM Systems☆305Sep 25, 2026Updated last month
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Implement Flash Attention using Cute.☆113Dec 17, 2024Updated last year
- Review automated kernel generation in the era of LLMs☆327Oct 12, 2026Updated 3 weeks ago
- Autonomous GPU kernel optimization system driven by AI agents.☆32Mar 29, 2026Updated 7 months ago
- [KernelGYM & Dr. Kernel] A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations [ICML…☆219Mar 29, 2026Updated 7 months ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆208Feb 11, 2026Updated 8 months ago
- 高性能短序列稀疏Mask Attention CUDA算子,针对<1K序列+75%稀疏度优化☆79Mar 18, 2026Updated 7 months ago
- Winner 🏆 (Agent-only) MLSys 2026 - FlashInfer AI Kernel Generation Contest for the DeepSeek Sparse Attention (DSA) track with an average…☆319Sep 12, 2026Updated last month
- CODA: Rewriting Transformer Blocks as GEMM-Epilogue Programs☆258Updated this week
- Speed of Light Analysis for ML Model Runtime☆144Updated 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.
- Compact and Agent-Native MoE Training System☆360Updated this week
- A kernel library written in tilelang☆2,033Oct 14, 2026Updated 3 weeks ago
- NVIDIA cuTile learn☆168Dec 9, 2025Updated 10 months ago
- CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.☆560Updated this week
- Efficient and unified implementations for TopK-based sparse attention☆41Jul 10, 2026Updated 3 months ago
- CUTLASS and CuTe Examples☆143Nov 30, 2025Updated 11 months ago
- An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.☆12,156Updated this week