AI-Hypercomputer / kithara
☆13Updated last month
Alternatives and similar repositories for kithara
Users that are interested in kithara are comparing it to the libraries listed below
Sorting:
- torchprime is a reference model implementation for PyTorch on TPU.☆19Updated this week
- ☆138Updated 2 weeks ago
- PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"☆60Updated last month
- ☆186Updated 2 weeks ago
- Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.☆63Updated 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…☆325Updated this week
- xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerat…☆120Updated last week
- ☆16Updated 2 months ago
- ☆27Updated last week
- ☆455Updated 10 months ago
- Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…☆496Updated 2 weeks ago
- A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across differe…☆45Updated this week
- Google TPU optimizations for transformers models☆109Updated 3 months ago
- Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)☆64Updated 5 months ago
- Two implementations of ZeRO-1 optimizer sharding in JAX☆14Updated last year
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆245Updated this week
- jax-triton contains integrations between JAX and OpenAI Triton☆393Updated 2 weeks ago
- ☆20Updated last week
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆195Updated this week
- ☆15Updated 2 weeks ago
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆569Updated this week
- Applied AI experiments and examples for PyTorch☆265Updated 2 weeks ago
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆362Updated this week
- ☆205Updated this week
- ☆301Updated last week
- Inference code for LLaMA models in JAX☆118Updated 11 months ago
- NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the …☆159Updated this week
- Orbax provides common checkpointing and persistence utilities for JAX users☆380Updated this week
- Experimenting with how best to do multi-host dataloading☆10Updated 2 years ago
- ☆186Updated 3 months ago