aws-neuron / nki-samplesLinks
☆58Updated this week
Alternatives and similar repositories for nki-samples
Users that are interested in nki-samples are comparing it to the libraries listed below
Sorting:
- ☆63Updated last month
- A schedule language for large model training☆151Updated 3 months ago
- Project showing how to develop NKI kernels for Llama 3.2 1B inference☆20Updated 6 months ago
- ☆15Updated last week
- extensible collectives library in triton☆91Updated 8 months ago
- ☆39Updated last year
- MLIR-based partitioning system☆151Updated this week
- ☆111Updated 11 months ago
- ☆262Updated last week
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆216Updated last week
- Github mirror of trition-lang/triton repo.☆105Updated this week
- This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".☆83Updated 2 months ago
- Example code for AWS Neuron SDK developers building inference and training applications☆151Updated 2 weeks ago
- ☆97Updated last year
- TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators☆99Updated 6 months ago
- Collection of kernels written in Triton language☆172Updated 8 months ago
- Autonomous GPU Kernel Generation via Deep Agents☆187Updated this week
- Applied AI experiments and examples for PyTorch☆311Updated 3 months ago
- AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming☆133Updated this week
- Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and i…☆562Updated last week
- Cataloging released Triton kernels.☆277Updated 3 months ago
- Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…☆84Updated 3 weeks ago
- Fast low-bit matmul kernels in Triton☆407Updated 3 weeks ago
- ring-attention experiments☆160Updated last year
- TPU inference for vLLM, with unified JAX and PyTorch support.☆192Updated last week
- Best practices for training DeepSeek, Mixtral, Qwen and other MoE models using Megatron Core.☆137Updated last month
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆301Updated this week
- ☆115Updated last year
- ☆151Updated 11 months ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA (+ more DSLs)☆708Updated this week