This document is relevant for: Inf1, Inf2, Trn1, Trn1n

Neuron Documentation Release Notes

Neuron 2.20.0

Date: 09/16/2024

Neuron Compiler

• Added Getting Started with NKI guide for implementing a simple “Hello World” style NKI kernel and running it on a Neuron Device (Trainium/Inferentia2). See Getting Started with NKI

• Added NKI Programming Model guide for explaining the three main stages of the NKI programming model. See NKI Programming Model

• Added NKI Kernel as a Framework Custom Operator guide for explaining how to insert a NKI kernel as a custom operator into a PyTorch or JAX model using simple code examples. See NKI Kernel as a Framework Custom Operator

• Added NKI Tutorials for the following kernels: Tensor addition, Transpose2D, AveragePool2D, Matrix multiplication, RMSNorm, Fused Self Attention, LayerNorm, and Fused Mamba. See nki.kernels

• Added NKI Kernels guide for optimized kernel examples. See nki.kernels

• Added Trainium/Inferentia2 Architecture Guide for NKI. See Trainium/Inferentia2 Architecture Guide for NKI

• Added Profiling NKI kernels with Neuron Profile. See Profiling NKI kernels with Neuron Profile

• Added NKI Performance Guide for explaining a recipe to find performance bottlenecks of NKI kernels and apply common software optimizations to address such bottlenecks. See NKI Performance Guide

• Added NKI API Reference Manual with nki framework and types, nki.language, nki.isa, NKI API Common Fields, and NKI API Errors. See NKI API Reference Manual

• Added NKI FAQ. See NKI FAQ

• Added NKI Known Issues. See NKI Known Issues

• Updated Neuron Glossary with NKI terms. See Neuron Glossary

• Added new NKI samples repository

• Added average_pool2d, fused_mamba, layernorm, matrix_multiplication, rms_norm, sd_attention, tensor_addition, and transpose_2d kernel tutorials to the NKI samples respository. See NKI samples repository

• Added unit and integration tests for each kernel. See NKI samples repository

• Updated Custom Operators API Reference Guide with updated terminology (HBM). See Custom Operators API Reference Guide [Beta]

NeuronX Distributing Training (NxDT)

• Added NxDT (Beta) Developer Guide. See Developer Guide

• Added NxDT Developer Guide for Migrating from NeMo to Neuronx Distributed Training. See Migrating from NeMo to Neuronx Distributed Training

• Added NxDT Developer Guide for Migrating from Neuron-NeMo-Megatron to Neuronx Distributed Training. See Migrating from Neuron-NeMo-Megatron to Neuronx Distributed Training

• Added NxDT Developer Guide for Integrating a new dataset/dataloader. See Integrating a new dataset/dataloader

• Added NxDT Developer Guide for Integrating a new model. See Integrating a New Model

• Added NxDT Developer Guide for Registering an optimizer and LR scheduler. See Registering an optimizer and LR scheduler

• Added NxDT YAML Configuration Overview. See YAML Configuration Settings

• Added Neuronx Distributed Training Library Features documentation. See Neuronx Distributed Training Library Features

• Added Installation instructions for NxDT. See Setup

• Added Known Issues and Workarounds for NxDT. See Known Issues and Workarounds

NeuronX Distributed Core (NxD Core)

• Updated Developer guide for save/load checkpoint (neuronx-distributed ) with ZeRO-1 Optimizer State Offline Conversion. See Developer guide for save/load checkpoint

• Added Developer guide for Standard Mixed Precision with NeuronX Distributed. See Developer guide for Standard Mixed Precision

• Updated NeuronX Distributed API Guide LoRA finetuning support. See Distributed Strategies APIs

• Added Developer guide for LoRA finetuning with NeuronX Distributed. See Developer guide for LoRA finetuning

• Updated CodeLlama tutorial with latest package versions. See tutorial

• Added tutorial for Fine-tuning Llama3 8B with tensor parallelism and LoRA using Neuron PyTorch-Lightning with NeuronX Distributed. See Fine-tuning Llama3 8B with tensor parallelism and LoRA using Neuron PyTorch-Lightning

• Updated links in Llama2 NxD Finetuning tutorial. See Fine-tuning Llama2 7B with tensor parallelism and ZeRO-1 optimizer using Neuron PyTorch-Lightning

• Updated tokenizer download command in tutorials. See Training Llama3.1-8B, Llama3-8B and Llama2-7B with Tensor Parallelism and ZeRO-1 Optimizer, Training Llama-3.1-70B, Llama-3-70B or Llama-2-13B/70B with Tensor Parallelism and Pipeline Parallelism, and Training CodeGen2.5 7B with Tensor Parallelism and ZeRO-1 Optimizer

JAX Neuron

• Added JAX Neuron Main page. See JAX Neuron (beta)

• Added JAX Neuron plugin instructions. See JAX Neuron plugin Setup

• Added JAX Neuron setup instructions. See JAX Setup

PyTorch NeuronX

• Updated Developer Guide for Training with PyTorch NeuronX with support for convolution in AMP. See Developer Guide for Training with PyTorch NeuronX.

• Added inference samples for Wav2Vec2 conformer models with Relative Position Embeddings and Rotary Position Embedding. See sample and sample.

• Updated the ViT sample with updated accelerate version. See sample

• Updated PyTorch NeuronX Environment Variables with NEURON_TRANSFER_WITH_STATIC_RING_OPS. See PyTorch NeuronX Environment Variables

• Added inference samples for Pixart Alpha and PixArt Sigma models. See sample and sample

• Added benchmarking scripts for PixArt alpha. See benchmarking script

Transformers NeuronX

• Updated Transformers NeuronX Developer Guide with Multi-node inference support (TP/PP). See Transformers NeuronX (transformers-neuronx) Developer Guide

• Updated Transformers NeuronX Developer Guide with BDH layout support. See Transformers NeuronX (transformers-neuronx) Developer Guide

• Updated Transformers NeuronX Developer Guide with Flash Decoding to support long sequence lengths up to 128k. See Transformers NeuronX (transformers-neuronx) Developer Guide

• Updated Transformers NeuronX Developer Guide with presharded weights support. See Transformers NeuronX (transformers-neuronx) Developer Guide

• Added Llama 3.1 405b sample with 16k sequence length. See tutorial

• Added Llama 3.1 70b 64k tutorial. See tutorial

• Added Llama 3.1 8b 128k tutorial. See tutorial

• Removed the sample llama-3-8b-32k-sampling.ipynb and replaced it with Llama-3.1-8B model sample llama-3.1-8b-32k-sampling.ipynb. See sample

Neuron Runtime

• Updated Neuron Runtime Troubleshooting guide with the latest hardware error codes and logs and with Neuron Runtime execution fails at out-of-bound access. See Neuron Runtime Troubleshooting on Inf1, Inf2 and Trn1

• Updated Neuron Sysfs User Guide with new sysfs entries and device reset instructions. See Neuron Sysfs User Guide

• Added Neuron Runtime Input Dump on Trn1 documentation. See nrt-input-dumps

Containers

• Added Neuron Helm Chart repository to help streamline the deployment of AWS Neuron components on Amazon EKS. See repo

• Updated Kubernetes container deployment process with Neuron Helm Chart documentation. See k8s-neuron-helm-chart

• Added guide for Deploying Neuron Container on Elastic Container Service (ECS). See Deploy Neuron Container on Elastic Container Service (ECS) for Training

• Added documentation for Neuron Plugins for Containerized Environments. See Neuron Plugins for Containerized Environments

• Updated guide for locating DLC images. See Neuron Deep Learning Containers

Neuron Tools

• Updated Neuron Profiler User Guide with Alternative output formats. See Neuron Profile User Guide

Software Maintenance and Misc

• Updated the Neuron Software Maintenance Policy. See Neuron Software Maintenance policy

• Added announcement and updated documentation for end of support start for Tensorflow-Neuron 1.x. See Tensorflow-Neuron 1.x no longer supported

• Added announcement and updated documentation for end of support start for ‘neuron-device-version’ field. See ‘neuron-device-version’ field in neuron-monitor no longer supported

• Added announcement and updated documentation for end of support start for ‘neurondevice’ resource name. See ‘neurondevice’ resource name in Neuron Device K8s plugin no longer supported

• Added announcement and updated documentation for end of support start for AL2. See Neuron Runtime no longer supports Amazon Linux 2 (AL2)

• Added announcement for maintenance mode for torch-neuron versions 1.9 and 1.10. See Announcing maintenance mode for torch-neuron 1.9 and 1.10 versions

• Added supported Protobuf versions to the Neuron Release Artifacts. See Release Artifacts

• Updated Neuron Github Roadmap. See Roadmap

Neuron 2.19.0

Date: 07/03/2024

• Updated Transformers NeuronX Developer guide with support for inference for longer sequence lengths with Flash Attention kernel. See Developer Guide.

• Updated Transformers NeuronX developer guide with QKV Weight Fusion support. See Developer Guide.

• Updated Transformers NeuronX continuous batching developer guide with updated vLLM instructions and models supported. See Developer Guide.

• Updated Neuronx Distributed User guide with interleaved pipeline support. See Distributed Strategies APIs

• Added Codellama 13b 16k tutorial with NeuronX Distributed Inference library. See sample

• Updated PyTorch NeuronX Environment variables with custom SILU enabled via NEURON_CUSTOM_SILU. See PyTorch NeuronX Environment Variables

• Updated ZeRO1 support to have FP32 master weights support and BF16 all-gather. See ZeRO-1 Tutorial.

• Updated PyTorch 2.1 Appplication note with workaround for slower loss convergence for NxD LLaMA-3 70B pretraining using ZeRO1 tutorial. See Introducing PyTorch 2.1 Support.

• Updated Neuron DLAMI guide with support for new 2.19 DLAMIs. See Neuron DLAMI User Guide.

• Updated HF-BERT pre-training documentation for port forwarding. See Hugging Face BERT Pretraining Tutorial

• Updated T5 inference tutorial with transformer flag. See sample

• Added support for Llama3 model training. See Training Llama-3.1-70B, Llama-3-70B or Llama-2-13B/70B with Tensor Parallelism and Pipeline Parallelism and Training Llama3.1-8B, Llama3-8B and Llama2-7B with Tensor Parallelism and ZeRO-1 Optimizer

• Added support for Flash Attention kernel for training longer sequences in NeuronX Distributed. See Training Llama3.1-8B, Llama3-8B and Llama2-7B with Tensor Parallelism and ZeRO-1 Optimizer and Distributed Strategies APIs

• Updated Llama2 inference tutorial using NxD Inference library. See sample

• Added new guide for Neuron node problem detection and recovery tool. See configuration and tutorial.

• Added new guide for Neuron Monitor container to enable easy monitoring of Neuron metrics in Kubernetes. Supports monitoring with Prometheus and Grafana. See tutorial

• Updated Neuron scheduler extension documentation about enforcing allocation of contiguous Neuron Devices for the pods based on the Neuron instance type. See tutorial

• Updated Neuron Profiler User Guide with various UI enhancements. See Neuron Profile User Guide

• Added NeuronPerf support in Llama2 inference tutorial in NeuronX Distributed. See sample

• Added announcement for maintenance mode of MxNet. See Neuron support for MxNet enters maintenance mode

• Added announcement for end of support of Neuron TensorFlow 1.x (Inf1). See Announcing end of support for Tensorflow-Neuron 1.x

• Added announcement for end of support of AL2. See Announcing end of support for Neuron Runtime support of Amazon Linux 2 (AL2)

• Added announcement for end of support of ‘neuron-device-version’ field in neuron-monitor. See Announcing end of support for ‘neuron-device-version’ field in neuron-monitor

• Added announcement for end of support of ‘neurondevice’ resource name in Neuron Device K8s plugin. See Announcing end of support for ‘neurondevice’ resource name in Neuron Device K8s plugin

• Added announcement for end of support for Probuf versions <= 3.19 for PyTorch NeuronX. See Announcing end of support for Probuf versions <= 3.19 for PyTorch NeuronX, NeuronX Distributed, and Transformers NeuronX libraries

Neuron 2.18.0

Date: 04/01/2024

• Updated PyTorch NeuronX developer guide with Snapshotting support. See Snapshotting With Torch-Neuronx 2.1.

• Updated Distributed Strategies APIs and Developer guide for Pipeline Parallelism with support for auto_partition API.

• Updated Distributed Strategies APIs with enhanced checkpointing support with load API and async_save API.

• Updated documentation for PyTorch Lightning to train models using pipeline parallelism . See API guide and Developer Guide.

• Updated NeuronX Distributed developer guide with support for Autobucketing

• Added PyTorch NeuronX developer guide for Autobucketing.

• Updated Distributed Strategies APIs and Training Llama-3.1-70B, Llama-3-70B or Llama-2-13B/70B with Tensor Parallelism and Pipeline Parallelism with support for asynchronous checkpointing.

• Updated Transformers NeuronX Developer guide with support for streamer and stopping criteria APIs. See Developer Guide.

• Updated Transformers NeuronX Developer guide with instructions for Repeating N-Gram Filtering. See Developer Guide.

• Updated Transformers NeuronX developer guide with Top-K on-device sampling support [Beta]. See Developer Guide.

• Updated Transformers NeuronX developer guide with Checkpointing support and automatic model selection. See Developer Guide.

• Updated Transformers NeuronX Developer guide with support for speculative sampling [Beta]. See Developer Guide.

• Added sample for training CodeGen2.5 7B with Tensor Parallelism and ZeRO-1 Optimizer with neuronx-distributed. See Training CodeGen2.5 7B with Tensor Parallelism and ZeRO-1 Optimizer.

• Added Tutorial for codellama/CodeLlama-13b-hf model inference with 16K seq length using Transformers Neuronx. See sample.

• Added Mixtral-8x7B Inference Sample/Notebook using TNx. See sample.

• Added Mistral-7B-Instruct-v0.2 Inference inference sample using TNx. See sample.

• Added announcement for Maintenance mode of TensorFlow 1.x. See Tensorflow-Neuron 1.x enters maintenance mode.

• Updated PyTorch 2.1 documentation to reflect stable (out of beta) support. See Introducing PyTorch 2.1 Support.

• Updated PyTorch NeuronX environment variables to reflect stable (out of beta) support. See PyTorch NeuronX Environment Variables.

• Updated Release Artifacts with supported HuggingFace Transformers versions.

• Added user guide instructions for Neuron DLAMI. See Neuron DLAMI User Guide.

• Updated PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API tutorial with latest Hugging Face Trainer API.

• Updated Neuron Runtime API guide with support for nr_tensor_allocate. See Developer’s Guide - NeuronX Runtime.

• Updated Neuron Sysfs User Guide with support for serial_number unique identifier.

• Updated Custom Operators API Reference Guide [Beta] limitations and fixed nested sublists. See Neuron Custom C++ Operators Developer Guide [Beta].

• Fixed issue in ZeRO-1 Tutorial.

• Fixed potential hang during synchronization step in nccom-test. See NCCOM-TEST User Guide.

• Updated troubleshooting guide with an additional hardware error messaging. See Neuron Runtime Troubleshooting on Inf1, Inf2 and Trn1.

• Updated DLC documentation. See Customize Neuron DLC and Deploy Neuron Container on EC2.

Neuron 2.16.0

Date: 12/21/2023

• Added setup guide instructions for AL2023 OS. See Setup Guide

• Added announcement for name change of Neuron Components. See Announcing Name Change for Neuron Components

• Added announcement for End of Support for PyTorch 1.10 . See Announcing End of Support for PyTorch Neuron version 1.10

• Added announcement for End of Support for PyTorch 2.0 Beta. See Announcing End of Support for PyTorch NeuronX version 2.0 (beta)

• Added announcement for moving NeuronX Distributed sample model implementations. See Announcing deprecation for NeuronX Distributed Training Samples in Neuron Samples Repository

• Updated Transformers NeuronX developer guide with support for Grouped Query Attention(GQA). See developer guide

• Added sample for Llama-2-70b model inference. See tutorial

• Added documentation for PyTorch Lightning to train models using tensor parallelism and data parallelism . See api guide , developer guide and tutorial

• Added documentation for Model and Optimizer Wrapper training API that handles the parallelization. See api guide and Developer guide for model and optimizer wrapper

• Added documentation for New save_checkpoint and load_checkpoint APIs to save/load checkpoints during distributed training. See Developer guide for save/load checkpoint

• Added documentation for a new Query-Key-Value(QKV) module in NeuronX Distributed for Training. See api guide and tutorial

• Added new developer guide for Inference using NeuronX Distributed. developer guide

• Added Llama-2-7B model inference script ([html] [notebook])

• Added App note on Support for PyTorch 2.1 (Beta) . See Introducing PyTorch 2.1 Support

• Added developer guide for replace_weights API to replace the separated weights. See PyTorch Neuron (torch-neuronx) Weight Replacement API for Inference

• Added [Beta] script for training stabilityai/stable-diffusion-2-1-base and runwayml/stable-diffusion-v1-5 models . See script

• Added [Beta] script for training facebook/bart-large model. See script

• Added [Beta] script for stabilityai/stable-diffusion-2-inpainting model inference. See script

• Added documentation for new Neuron Distributed Event Tracing (NDET) tool to help visualize execution trace logs and diagnose errors in multi-node workloads. See Neuron Distributed Event Tracing (NDET) User Guide

• Updated Neuron Profile User guide with support for multi-worker jobs. See Neuron Profile User Guide

• Minor updates to Custom Ops API reference guide.See Custom Operators API Reference Guide [Beta]

Neuron 2.15.0

Date: 10/26/2023

• New Introducing PyTorch 2.0 Support (End of Support) application note with torch-neuronx

• New llama2_70b_tp_pp_tutorial and (sample script) using neuronx-distributed

• New Model Samples and Tutorials documentation for a consolidated list of code samples and tutorials published by AWS Neuron.

• New Neuron Software Classification documentation for alpha, beta, and stable Neuron SDK definitions and updated documentation references.

• New Pipeline Parallelism Overview and Developer guide for Pipeline Parallelism documentation in neuronx-distributed

• Updated Neuron Distributed API Guide regarding pipeline-parallelism support and checkpointing

• New Activation Memory Reduction application note and Developer guide for Activation Memory reduction in neuronx-distributed

• New Weight Sharing (Deduplication) notebook script

• Added Finetuning script for google/electra-small-discriminator with torch-neuronx

• Added ResNet50 training (Beta) tutorial and scripts with torch-neuronx

• Added Vision Perceiver training sample with torch-neuronx

• Added flan-t5-xl model inference tutorial using neuronx-distributed

• Added HuggingFace Stable Diffusion 4X Upscaler model Inference on Trn1 / Inf2 sample script with torch-neuronx

• Updated GPT-NeoX 6.9B and 20B model scripts to include selective checkpointing.

• Added serialization support and removed -O1 flag constraint to Llama-2-13B model inference script tutorial with transformers-neuronx

• Updated BERT script and Llama-2-7B script with Pytorch 2.0 support

• Added option-argument llm-training to the existing --distribution_strategy compiler option to make specific optimizations related to training distributed models in Neuron Compiler CLI Reference Guide (neuronx-cc)

• Updated Neuron Sysfs User Guide to include mem_ecc_uncorrected and sram_ecc_uncorrected hardware statistics.

• Updated PyTorch NeuronX Tracing API for Inference to include io alias documentation

• Updated Transformers NeuronX (transformers-neuronx) Developer Guide with serialization support.

• Upgraded numpy version to 1.22.2 for various scripts

• Updated LanguagePerceiver fine-tuning script to stable

• Announcing End of Support for OPT example in transformers-neuronx

• Announcing End of Support for “nemo” option-argument

Known Issues and Limitations

Following tutorials are currently not working. These tutorials will be updated once there is a fix.

• Zero1-gpt2-pretraining-tutorial

• Finetune t5 tutorial

Neuron 2.14.0

Date: 09/15/2023

• Neuron Calculator now supports multiple model configurations for Tensor Parallel Degree computation. See Neuron Calculator

• Announcement to deprecate --model-type=transformer-inference flag. See Announcing deprecation for --model-type=transformer-inference compiler flag

• Updated HF ViT benchmarking script to use --model-type=transformer flag. See [script]

• Updated torch_neuronx.analyze API documentation. See PyTorch NeuronX Analyze API for Inference

• Updated Performance benchmarking numbers for models on Inf1,Inf2 and Trn1 instances with 2.14 release bits. See _benchmark

• New tutorial for Training Llama2 7B with Tensor Parallelism and ZeRO-1 Optimizer using neuronx-distributed Training Llama3.1-8B, Llama3-8B and Llama2-7B with Tensor Parallelism and ZeRO-1 Optimizer

• New tutorial for T5-3B model inference using neuronx-distributed (tutorial)

• Updated Neuron Persistent Cache documentation regarding clarification of flags parsed by neuron_cc_wrapper tool which is a wrapper over Neuron Compiler CLI. See Neuron Persistent Cache

• Added tokenizers_parallelism=true in various notebook scripts to supress tokenizer warnings making errors easier to detect

• Updated Neuron device plugin and scheduler YAMLs to point to latest images. See yaml configs

• Added notebook script to fine-tune deepmind/language-perceiver model using torch-neuronx. See sample script

• Added notebook script to fine-tune clip-large model using torch-neuronx. See sample script

• Added SD XL Base+Refiner inference sample script using torch-neuronx. See sample script

• Upgraded default diffusers library from 0.14.0 to latest 0.20.2 in Stable Diffusion 1.5 and Stable Diffusion 2.1 inference scripts. See sample scripts

• Added Llama-2-13B model training script using neuronx-nemo-megatron ( tutorial )

Neuron 2.13.0

Date: 08/28/2023

• Added tutorials for GPT-NEOX 6.9B and 20B models training using neuronx-distributed. See more at Tutorials for NeuronX Distributed

• Added TensorFlow 2.x (tensorflow-neuronx) analyze_model API section. See more at TensorFlow 2.x (tensorflow-neuron) analyze_model API

• Updated setup instructions to fix path of existing virtual environments in DLAMIs. See more at setup guide

• Updated setup instructions to fix pinned versions in upgrade instructions of setup guide. See more at setup guide

• Updated tensorflow-neuron HF distilbert tutorial to improve performance by removing HF pipeline. See more at [html] [notebook]

• Updated training troubleshooting guide in torch-neuronx to describe network Connectivity Issue on trn1/trn1n 32xlarge with Ubuntu. See more at PyTorch Neuron (torch-neuronx) for Training Troubleshooting Guide

• Added “Unsupported Hardware Operator Code” section to Neuron Runtime Troubleshooting page. See more at Neuron Runtime Troubleshooting on Inf1, Inf2 and Trn1

• Removed ‘beta’ tag from neuronx-distributed section for training. neuronx-distributed Training is now considered stable and neuronx-distributed inference is considered as beta.

• Added FLOP count(flop_count) and connected Neuron Device ids (connected_devices) to sysfs userguide. See Neuron Sysfs User Guide

• Added tutorial for T5 model inference. See more at [notebook]

• Updated neuronx-distributed api guide and inference tutorial. See more at Distributed Strategies APIs and Inference with Tensor Parallelism [Beta]

• Announcing End of support for AWS Neuron reference for Megatron-LM starting Neuron 2.13. See more at AWS Neuron reference for Megatron-LM no longer supported

• Announcing end of support for torch-neuron version 1.9 starting Neuron 2.14. See more at Announcing end of support for torch-neuron version 1.9

• Upgraded numpy version to 1.21.6 in various training scripts for Text Classification

• Added license for Nemo Megatron to SDK Maintenance Policy. See more at Neuron Software Maintenance policy

• Updated bert-japanese training Script to use multilingual-sentiments dataset. See `hf-bert-jp <aws-neuron/aws-neuron-samples> `_

• Added sample script for LLaMA V2 13B model inference using transformers-neuronx. See neuron samples repo

• Added samples for training GPT-NEOX 20B and 6.9B models using neuronx-distributed. See neuron samples repo

• Added sample scripts for CLIP and Stable Diffusion XL inference using torch-neuronx. See neuron samples repo

• Added sample scripts for vision and language Perceiver models inference using torch-neuronx. See neuron samples repo

• Added camembert training/finetuning example for Trn1 under hf_text_classification in torch-neuronx. See neuron samples repo

• Updated Fine-tuning Hugging Face BERT Japanese model sample in torch-neuronx. See neuron samples repo

• See more neuron samples changes in neuron samples release notes

• Added samples for pre-training GPT-3 23B, 46B and 175B models using neuronx-nemo-megatron library. See aws-neuron-parallelcluster-samples

• Announced End of Support for GPT-3 training using aws-neuron-reference-for-megatron-lm library. See aws-neuron-parallelcluster-samples

• Updated bert-fine-tuning SageMaker sample by replacing amazon_reviews_multi dataset with amazon_polarity dataset. See aws-neuron-sagemaker-samples

Neuron 2.12.0

Date: 07/19/2023

• Added best practices user guide for benchmarking performance of Neuron Devices Benchmarking Guide and Helper scripts

• Announcing end of support for Ubuntu 18. See more at Announcing end of support for Ubuntu 18

• Improved sidebar navigation in Documentation.

• Removed support for Distributed Data Parallel(DDP) Tutorial.

Neuron 2.11.0

Date: 06/14/2023

• New Neuron Calculator Documentation section to help determine number of Neuron Cores needed for LLM Inference.

• Added App Note Generative LLM inference with Neuron

• New ML Libraries Documentation section to have NxD Core and Transformers NeuronX (transformers-neuronx)

• Improved Installation and Setup Guides for the different platforms supported. See more at Setup Guide

• Added Tutorial How to prepare trn1.32xlarge for multi-node execution

This document is relevant for: Inf1, Inf2, Trn1, Trn1n