AI-Hypercomputer / ml-goodput-measurementLinks
☆26Updated 2 months ago
Alternatives and similar repositories for ml-goodput-measurement
Users that are interested in ml-goodput-measurement are comparing it to the libraries listed below
Sorting:
- xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerat…☆151Updated this week
- ☆145Updated last week
- Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.☆97Updated this week
- ☆53Updated last week
- PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"☆77Updated 2 months ago
- JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…☆388Updated 5 months ago
- ☆25Updated this week
- a Jax quantization library☆57Updated this week
- ☆15Updated 5 months ago
- Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)☆65Updated 5 months ago
- A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across differe…☆54Updated this week
- ☆15Updated 6 months ago
- This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic …☆103Updated this week
- ☆190Updated 3 weeks ago
- ☆57Updated last week
- torchax is a PyTorch frontend for JAX. It gives JAX the ability to author JAX programs using familiar PyTorch syntax. It also provides JA…☆122Updated this week
- ☆121Updated this week
- Two implementations of ZeRO-1 optimizer sharding in JAX☆14Updated 2 years ago
- Module, Model, and Tensor Serialization/Deserialization☆272Updated 2 months ago
- ☆337Updated last week
- ☆42Updated 2 weeks ago
- Tokamax: A GPU and TPU kernel library.☆104Updated this week
- torchprime is a reference model implementation for PyTorch on TPU.☆40Updated last month
- ☆274Updated last week
- 🚀 Collection of libraries used with fms-hf-tuning to accelerate fine-tuning and training of large models.☆13Updated last week
- ☆16Updated 8 months ago
- TPU inference for vLLM, with unified JAX and PyTorch support.☆161Updated this week
- A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.☆124Updated 2 months ago
- ☆21Updated 8 months ago
- A set of Python scripts that makes your experience on TPU better☆54Updated 2 months ago