Alternatives and similar repositories for ai-performance-engineering

Users that are interested in ai-performance-engineering are comparing it to the libraries listed below

• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆333Updated last year
• drkennetz / cuda_examples
  Some CUDA example code with READMEs.
  ☆176Updated 8 months ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆194Updated 5 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆425Updated 7 months ago
• huggingface / gpu-fryer
  Where GPUs get cooked 👩‍🍳🔥
  ☆294Updated last month
• suneeta-mall / deep_learning_at_scale
  Contains hands-on example code for [O'reilly book "Deep Learning At Scale"](https://www.oreilly.com/library/view/deep-learning-at/9781098…
  ☆29Updated last year
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆233Updated 5 months ago
• hkproj / 100-days-of-gpu
  ☆385Updated 6 months ago
• meta-pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆441Updated last week
• 1y33 / 100Days
  GPU Kernels
  ☆203Updated 6 months ago
• Quentin-Anthony / nanoMPI
  Simple MPI implementation for prototyping or learning
  ☆287Updated 2 months ago
• NVIDIA / accelerated-computing-hub
  NVIDIA curated collection of educational resources related to general purpose GPU programming.
  ☆800Updated this week
• gpu-mode / awesomeMLSys
  An ML Systems Onboarding list
  ☆921Updated 9 months ago
• R100001 / Programming-Massively-Parallel-Processors
  ☆193Updated last year
• Maharshi-Pandya / cudacodes
  Learnings and programs related to CUDA
  ☆422Updated 4 months ago
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆58Updated 3 weeks ago
• snowflakedb / ArcticInference
  ArcticInference: vLLM plugin for high-throughput, low-latency inference
  ☆288Updated last week
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆301Updated this week
• a-hamdi / GPU
  100 days of building GPU kernels!
  ☆521Updated 6 months ago
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆57Updated 2 months ago
• IST-DASLab / llmq
  Quantized LLM training in pure CUDA/C++.
  ☆209Updated this week
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆147Updated 2 years ago
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆666Updated last week
• gpu-mode / profiling-cuda-in-torch
  ☆174Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆264Updated last month
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆95Updated last month
• hkproj / triton-flash-attention
  ☆210Updated 10 months ago
• rwitten / HighPerfLLMs2024
  ☆545Updated last year
• rkinas / cuda-learning
  This repository is a curated collection of resources, tutorials, and practical examples designed to guide you through the journey of mast…
  ☆403Updated 8 months ago
• stanford-cs149 / cs149gpt
  ☆76Updated last year