High Performance LLM Inference Operator Library
☆852Apr 13, 2026Updated last month
Alternatives and similar repositories for hpc-ops
Users that are interested in hpc-ops are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 使用 cutlass 实现 flash-attention 精简版,具有教学意义☆59Aug 12, 2024Updated last year
- ☆14Nov 3, 2025Updated 6 months ago
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆6,278Updated this week
- Distributed Compiler based on Triton for Parallel Systems☆1,440Apr 22, 2026Updated last month
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,078Sep 4, 2024Updated 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.
- Flash Attention in ~100 lines of CUDA (forward pass only)☆12Jun 10, 2024Updated last year
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆11Dec 13, 2023Updated 2 years ago
- ☆179May 11, 2026Updated 2 weeks ago
- FlashInfer: Kernel Library for LLM Serving☆5,666Updated this week
- Examples of CUDA implementations by Cutlass CuTe☆274Jul 1, 2025Updated 10 months ago
- ☆267Jul 11, 2024Updated last year
- study of cutlass☆22Nov 10, 2024Updated last year
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Feb 20, 2026Updated 3 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆81Aug 12, 2024Updated last year
- 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.
- Implement Flash Attention using Cute.☆107Dec 17, 2024Updated last year
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,772Updated this week
- A Easy-to-understand TensorOp Matmul Tutorial☆434Mar 5, 2026Updated 2 months ago
- A Quirky Assortment of CuTe Kernels☆985Updated this week
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆20Aug 3, 2025Updated 9 months ago
- xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism☆2,622Updated this week
- ☆37Aug 7, 2025Updated 9 months ago
- CUTLASS and CuTe Examples☆135Nov 30, 2025Updated 5 months ago
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,309Aug 28, 2025Updated 8 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.
- how to optimize some algorithm in cuda.☆2,998Updated this week
- flash attention tutorial written in python, triton, cuda, cutlass☆516Jan 20, 2026Updated 4 months ago
- Triton kernels for Flux☆23Jul 7, 2025Updated 10 months ago
- ☆105Sep 9, 2024Updated last year
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆11,050May 17, 2026Updated last week
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆45Feb 27, 2025Updated last year
- An experimental communicating attention kernel based on DeepEP.☆34Jul 29, 2025Updated 9 months ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,073Updated this week
- 🤖FFPA: Extends FlashAttention-2 via Split-D for large headdims, 1.5x~3×↑🎉 vs SDPA, up to 430T🎉 on H200.☆299Updated this week
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆838Mar 6, 2025Updated last year
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆5,401Updated this week
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆7,272May 13, 2026Updated last week
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆190Feb 11, 2026Updated 3 months ago
- Fastest kernels written from scratch☆578Sep 18, 2025Updated 8 months ago
- triton for dsa☆65Updated this week
- FlagGems is an operator library for large language models implemented in the Triton Language.☆1,001Updated this week