Alternatives and similar repositories for JetStream

Users that are interested in JetStream are comparing it to the libraries listed below

• google / saxml
  ☆146Updated last week
• AI-Hypercomputer / jetstream-pytorch
  PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
  ☆73Updated 2 weeks ago
• AI-Hypercomputer / xpk
  xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerat…
  ☆143Updated this week
• google / paxml
  Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…
  ☆536Updated last month
• meta-pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆410Updated last week
• coreweave / tensorizer
  Module, Model, and Tensor Serialization/Deserialization
  ☆268Updated last month
• meta-pytorch / monarch
  PyTorch Single Controller
  ☆425Updated this week
• google / aqt
  ☆331Updated 3 weeks ago
• meta-pytorch / torchx
  TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…
  ☆392Updated this week
• NVIDIA / nvidia-resiliency-ext
  NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the …
  ☆223Updated last week
• rwitten / HighPerfLLMs2024
  ☆537Updated last year
• AI-Hypercomputer / maxdiffusion
  ☆262Updated this week
• huggingface / optimum-tpu
  Google TPU optimizations for transformers models
  ☆120Updated 8 months ago
• run-ai / runai-model-streamer
  ☆255Updated this week
• imbue-ai / cluster-health
  ☆315Updated last year
• apple / ml-recurrent-drafter
  ☆217Updated 8 months ago
• run-ai / llmperf
  ☆59Updated last year
• NVIDIA-NeMo / Run
  A tool to configure, launch and manage your machine learning experiments.
  ☆195Updated this week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆213Updated last week
• GoogleCloudPlatform / ml-testing-accelerators
  Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)
  ☆65Updated 3 months ago
• facebookresearch / HolisticTraceAnalysis
  A library to analyze PyTorch traces.
  ☆414Updated last week
• snowflakedb / ArcticInference
  ArcticInference: vLLM plugin for high-throughput, low-latency inference
  ☆267Updated this week
• google / praxis
  ☆188Updated last week
• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆266Updated 11 months ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆268Updated 2 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆373Updated last week
• AI-Hypercomputer / gpu-recipes
  Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.
  ☆85Updated last week
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆142Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆296Updated last month
• huggingface / optimum-benchmark
  🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…
  ☆315Updated last week