AI-Hypercomputer / xpk
xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerators such as TPUs and GPUs on GKE.
☆106Updated this week
Alternatives and similar repositories for xpk:
Users that are interested in xpk are comparing it to the libraries listed below
- ☆136Updated last week
- JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs wel…☆290Updated this week
- Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)☆64Updated 3 months ago
- ☆20Updated last week
- A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across differe…☆40Updated this week
- PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"☆53Updated last month
- Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.☆42Updated this 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…☆233Updated this week
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆482Updated last month
- ☆194Updated this week
- Module, Model, and Tensor Serialization/Deserialization☆216Updated 2 weeks ago
- Kubernetes Operator, ansible playbooks, and production scripts for large-scale AIStore deployments on Kubernetes.☆89Updated last week
- ☆184Updated 2 weeks ago
- Google TPU optimizations for transformers models☆102Updated last month
- JAX-Toolbox☆286Updated this week
- ☆41Updated last month
- ☆36Updated last week
- ☆15Updated last month
- AI on GKE is a collection of examples, best-practices, and prebuilt solutions to help build, deploy, and scale AI Platforms on Google Kub…☆282Updated this week
- Orbax provides common checkpointing and persistence utilities for JAX users☆344Updated this week
- ☆169Updated this week
- PyTorch per step fault tolerance (actively under development)☆262Updated this week
- ☆288Updated last week
- ☆398Updated 8 months ago
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆349Updated this week
- ☆14Updated this week
- Modular, scalable library to train ML models☆66Updated this week
- A user-friendly tool chain that enables the seamless execution of ONNX models using JAX as the backend.☆108Updated 2 weeks ago
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆554Updated this week
- seqax = sequence modeling + JAX☆147Updated 2 weeks ago