LeetGPU Challenges
☆1,004Jul 17, 2026Updated this week
Alternatives and similar repositories for leetgpu-challenges
Users that are interested in leetgpu-challenges are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- LeetGPU Solutions☆123Oct 9, 2025Updated 9 months ago
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆11,578Updated this week
- Nano vLLM☆14,557Apr 26, 2026Updated 2 months ago
- FlashInfer: Kernel Library for LLM Serving☆5,988Updated this week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆6,674Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,104Updated this week
- A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.☆4,607May 17, 2026Updated 2 months ago
- An Optimizer for Nvidia Compilers.☆107Jul 3, 2026Updated 2 weeks ago
- 🌈 Solutions of LeetGPU☆94Jun 11, 2026Updated last month
- Learning TileLang with 10 puzzles!☆338May 28, 2026Updated last month
- Material for gpu-mode lectures☆6,330Jun 15, 2026Updated last month
- Distributed Compiler based on Triton for Parallel Systems☆1,494Updated this week
- ☆32Jul 2, 2025Updated last year
- cuTile is a programming model for writing parallel kernels for NVIDIA GPUs☆2,121Updated this week
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆361Updated this week
- A tutorial on modern GPU programming for machine learning systems☆1,017Updated this week
- My learning notes for ML SYS.☆6,753Updated this week
- A benchmark of real-world DL kernel problems☆257Updated this week
- CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-base…☆999Jul 6, 2026Updated 2 weeks ago
- Fast CUDA matrix multiplication from scratch☆1,256Sep 2, 2025Updated 10 months ago
- FlashTile is a CUDA Tile IR compiler that is compatible with NVIDIA's tileiras, targeting SM70 through SM121 NVIDIA GPUs.☆61Feb 6, 2026Updated 5 months ago
- Puzzles for learning Triton, play it with minimal environment configuration!☆735Mar 17, 2026Updated 4 months ago
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆290Jul 14, 2026Updated last week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆48Jul 14, 2026Updated last week
- Based on Nano-vLLM, a simple replication of vLLM with self-contained paged attention and flash attention implementation☆923Mar 16, 2026Updated 4 months ago
- An experimental communicating attention kernel based on DeepEP.☆34Jul 29, 2025Updated 11 months ago
- CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.☆534Updated this week
- Tile-Based Runtime for Ultra-Low-Latency LLM Inference☆1,573Updated this week
- Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming☆776Updated this week
- SGLang is a high-performance serving framework for large language models and multimodal models.☆30,545Updated this week
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆195Feb 11, 2026Updated 5 months ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark + Toolkit with Torch -> CUDA (+ more DSLs)☆1,148Mar 24, 2026Updated 3 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A kernel library written in tilelang☆1,643Apr 23, 2026Updated 2 months ago
- High-performance LLM operator library built on TileLang.☆161Updated this week
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆5,925Updated this week
- ☆41Oct 12, 2025Updated 9 months ago
- Fastest kernels written from scratch☆583Sep 18, 2025Updated 10 months ago
- CUDA 算子手撕与面试指南☆1,045Aug 23, 2025Updated 10 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆86,727Updated this week