GoogleCloudPlatform / ml-testing-acceleratorsLinks
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
☆65Updated 4 months ago
Alternatives and similar repositories for ml-testing-accelerators
Users that are interested in ml-testing-accelerators are comparing it to the libraries listed below
Sorting:
- ☆145Updated last week
- xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerat…☆147Updated this week
- JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…☆385Updated 4 months ago
- Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.☆93Updated this week
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆395Updated last week
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆539Updated last month
- This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic …☆102Updated last week
- A profiling and performance analysis tool for machine learning☆441Updated this week
- A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across differe…☆53Updated this week
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated last year
- PyTorch RFCs (experimental)☆135Updated 5 months ago
- ☆190Updated this week
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆161Updated last month
- PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"☆76Updated last month
- Utilities for passing TensorFlow-related metadata between tools☆110Updated 2 months ago
- Home for OctoML PyTorch Profiler☆114Updated 2 years ago
- A tensor-aware point-to-point communication primitive for machine learning☆274Updated 2 months ago
- Reference models for Intel(R) Gaudi(R) AI Accelerator☆165Updated last month
- struct2tensor is a library for parsing and manipulating structured data inside of tensorflow.☆34Updated last month
- ☆335Updated last month
- Common code for TFX☆65Updated 2 months ago
- ☆16Updated 7 months ago
- NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the …☆226Updated last week
- ☆49Updated last week
- Cluster Toolkit is an open-source software offered by Google Cloud which makes it easy for customers to deploy AI/ML and HPC environments…☆292Updated this week
- ☆57Updated last week
- ☆268Updated last week
- jax-triton contains integrations between JAX and OpenAI Triton☆428Updated last week
- PyTorch interface for the IPU☆181Updated 2 years ago
- General policies for MLPerf™ including submission rules, coding standards, etc.☆31Updated 3 weeks ago