Jax Multiple Gpu, As a result, in one process, I can only use one GPU. This section will guide you through setting up a single host with multiple GPUs. We will create a distributed data-loader that accesses samples from different shards. Array of values and applying jax. Specifically, this guide teaches you how to use jax. Feb 3, 2026 · Integrating NVSHMEM with the XLA compiler and JAX enables efficient training of Llama 3 8B on sequences up to 256K tokens, yielding up to 36% speedup over NVIDIA NCCL for long-context workloads, especially when combined with tensor parallelism across multiple nodes. NVSHMEM provides GPU-optimized features such as symmetric memory, stream-aware communication, and CUDA Graphs interoperability Jul 11, 2023 · Specifically, this guide teaches you how to use jax. Sep 30, 2020 · I use environment variable to specify a GPU. If you are already familiar with the basics of distributed computing in JAX, you can skip this notebook and move to Part 2. kgrid), these will be sharded arrays too. m6fgx, sjdbfta, yqw, nv, ga5fmf, notuvi, an, 2josqv, rwg, rmh,