Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
β1,586Jan 28, 2026Updated 4 months ago
Alternatives and similar repositories for kernl
Users that are interested in kernl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Efficient, scalable and enterprise-grade CPU/GPU inference server for π€ Hugging Face transformer models πβ1,685Oct 23, 2024Updated last year
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (Nβ¦β4,720Apr 9, 2026Updated 2 months ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.β1,078Apr 17, 2024Updated 2 years ago
- Transformer related optimization, including BERT, GPTβ6,419Mar 27, 2024Updated 2 years ago
- Development repository for the Triton language and compilerβ19,380Updated this week
- Proton VPN Special Offer - Get 70% off β’ AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hβ¦β3,381Updated this week
- Accessible large language models via k-bit quantization for PyTorch.β8,258Updated this week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.β2,109Jun 30, 2025Updated 11 months ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.β600May 13, 2026Updated 3 weeks ago
- Running large language models on a single GPU for throughput-oriented scenarios.β9,365Oct 28, 2024Updated last year
- GPTQ inference Triton kernelβ322May 18, 2023Updated 3 years ago
- Training and serving large-scale neural networks with auto parallelization.β3,185Dec 9, 2023Updated 2 years ago
- Hackable and optimized Transformers building blocks, supporting a composable construction.β10,484May 21, 2026Updated 2 weeks ago
- An open-source efficient deep learning framework/compiler, written in python.β742Sep 4, 2025Updated 9 months ago
- AI Agents on DigitalOcean Gradient AI Platform β’ AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Fast and memory-efficient exact attentionβ24,037Updated this week
- FlashInfer: Kernel Library for LLM Servingβ5,760Updated this week
- Pipeline Parallelism for PyTorchβ785Aug 21, 2024Updated last year
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Trainingβ1,888Updated this week
- Implementation of a Transformer, but completely in Tritonβ278Apr 5, 2022Updated 4 years ago
- Serving multiple LoRA finetuned LLM as oneβ1,160May 8, 2024Updated 2 years ago
- π Accelerate inference and training of π€ Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimizationβ¦β3,409Updated this week
- Tile primitives for speedy kernelsβ3,405May 27, 2026Updated last week
- Foundation Architecture for (M)LLMsβ3,132Apr 11, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer β’ AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)β4,748Jan 8, 2024Updated 2 years ago
- PyTorch extensions for high performance and large scale training.β3,407Apr 26, 2025Updated last year
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabiliβ¦β4,086Updated this week
- Applied AI experiments and examples for PyTorchβ323Aug 22, 2025Updated 9 months ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebraβ9,831Updated this week
- π A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (iβ¦β9,711Updated this week
- Efficient Triton Kernels for LLM Trainingβ6,415Updated this week
- Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.β6,216Aug 22, 2025Updated 9 months ago
- Language Modeling with the H3 State Space Modelβ522Sep 29, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits β’ AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- jax-triton contains integrations between JAX and OpenAI Tritonβ461Jun 1, 2026Updated last week
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Accelerationβ3,556Jul 17, 2025Updated 10 months ago
- Large Language Model Text Generation Inferenceβ10,859Mar 21, 2026Updated 2 months ago
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".β2,318Mar 27, 2024Updated 2 years ago
- β164Sep 15, 2023Updated 2 years ago
- Sparsity-aware deep learning inference runtime for CPUsβ3,160Jun 2, 2025Updated last year
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Headsβ2,748Jun 25, 2024Updated last year