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  • About Neuron
    • What is AWS Neuron?
    • Architecture
      • Trn/Inf Instances
      • Amazon EC2 AI Chips
      • NeuronCores
      • Neuron Features
        • Data types
        • Rounding modes
        • Neuron batching
        • NeuronCore pipeline
        • Neuron persistent cache
        • Collective communication
        • Logical NeuronCore configuration
        • Custom C++ operators
      • Neuron Hardware
        • AWS Inferentia
        • AWS Inferentia2
        • AWS Trainium
        • AWS Trainium2
        • NeuronCore v1
        • NeuronCore v2
        • NeuronCore v3
        • NeuronCores Architecture
        • Neuron Devices
        • Neuron Instances
        • Inf1 Architecture
        • Inf2 Architecture
        • Trn1 Architecture
        • Trn2 Architecture
      • Neuron Glossary
    • Benchmarks
      • Inf1 Inference Performance
      • Inf2 Inference Performance
      • Trn1/Trn1n Inference Performance
      • Trn1/Trn1n Training Performance
    • App notes
      • Neuron Runtime Library
      • Performance
      • Parallel execution
      • PyTorch for Neuron
        • Running inference on variable input shapes with bucketing
        • Running R-CNNs on Inf1
        • Data Parallel Inference on Torch Neuron
      • PyTorch for NeuronX
        • Introducing PyTorch 2.6 Support
        • Introducing PyTorch 2.7 Support
        • Introducing PyTorch 2.8 Support
        • Introducing PyTorch 2.5 Support
        • Migration From XLA_USE_BF16/XLA_DOWNCAST_BF16
        • Data Parallel Inference on torch_neuronx
        • Graph Partitioner on torch_neuronx
    • Troubleshooting
    • Security
    • Neuron FAQ
  • Neuron architecture
    • Trn/Inf Instances
    • Amazon EC2 AI Chips
    • NeuronCores
    • Neuron Features
      • Data types
      • Rounding modes
      • Neuron batching
      • NeuronCore pipeline
      • Neuron persistent cache
      • Collective communication
      • Logical NeuronCore configuration
      • Custom C++ operators
    • Neuron Hardware
      • AWS Inferentia
      • AWS Inferentia2
      • AWS Trainium
      • AWS Trainium2
      • NeuronCore v1
      • NeuronCore v2
      • NeuronCore v3
      • NeuronCores Architecture
      • Neuron Devices
      • Neuron Instances
      • Inf1 Architecture
      • Inf2 Architecture
      • Trn1 Architecture
      • Trn2 Architecture
    • Neuron Glossary
  • What's New
    • Neuron 2.26.0
      • PyTorch support
      • JAX support
      • NxD Inference
      • NxD Core
      • NKI
      • Neuron Runtime
      • Developer tools
      • Deep Learning AMIs
      • Deep Learning Containers
      • Release artifacts
    • Previous versions
  • Announcements

Get Started

  • Quickstarts
  • Setup Guides
    • Launching Inf/Trn instances on Amazon EC2
      • Inference
        • Compile with Framework API and Deploy on EC2 Inf1
        • Compile with Framework API and Deploy on EC2 Inf2
      • Training
        • Train your model on EC2
    • PyTorch NeuronX (torch-neuronx)
    • PyTorch Neuron (torch-neuron)
    • JAX NeuronX
      • JAX NeuronX plugin Setup
      • JAX NeuronX Known Issues
      • API Reference Guide for JAX Neuronx
        • JAX NeuronX Environment Variables
      • JAX NeuronX (jax-neuronx) release notes
    • Tensorflow NeuronX (tensorflow-neuronx)
    • Tensorflow Neuron (tensorflow-neuron)
    • MxNet Neuron (mxnet-neuron)
  • Developer tools
    • System Tools
      • Neuron-Monitor User Guide
      • Neuron-Top User Guide
      • Neuron-LS User Guide
      • Neuron Profiler User Guide
      • Neuron Profiler 2.0 (Beta) User Guide
      • Neuron-Sysfs User Guide
      • Neuron-DET User guide
      • NCCOM-TEST User Guide
      • What's New
    • TensorBoard
      • Track Training Progress in TensorBoard using PyTorch Neuron
      • TensorBoard Plugin for Neuron (Trn1)
      • What's New
      • TensorBoard Plugin for Neuron (Inf1)
    • Helper Tools
      • Check Model
      • GatherInfo
    • NeuronPerf (Beta)
      • Overview
      • Terminology
      • Examples
      • Benchmark Guide
      • Evaluate Guide
      • Compile Guide
      • Model Index Guide
      • API
      • Framework Notes
      • FAQ
      • Troubleshooting
      • What’s New
        • NeuronPerf 1.x Release Notes
  • Models and Tutorials
    • Training on Trn1
    • Inference on Inf2/Trn1/Trn2
    • Inference on Inf1
  • Ask Amazon Q

Orchestrate and Deploy

  • Developer workloads
    • Amazon EKS
      • Using Neuron with Amazon EKS
      • Deploy Neuron Container on Elastic Kubernetes Service (EKS) for Inference
      • Deploy a simple mlp training script as a Kubernetes job
    • Amazon ECS
      • Neuron Problem Detector And Recovery
      • Deploy Neuron Container on Elastic Container Service (ECS) for Inference
      • Deploy Neuron Container on Elastic Container Service (ECS) for Training
    • AWS ParallelCluster
      • Parallel Cluster Flows- Training
        • Train your model on ParallelCluster
    • AWS Batch
      • Train your model on AWS Batch
  • Neuron DLAMI
  • Neuron Containers
    • Quickstart: Deploy a DLC with vLLM
    • Getting started with Neuron DLC using Docker
    • Neuron Deep Learning Containers
    • Customize Neuron DLC
    • Neuron Plugins for Containerized Environments
    • How to schedule MPI jobs to run on Neuron UltraServer on EKS
    • Neuron Containers FAQ
  • Amazon SageMaker
  • Third-party Solutions

Use ML Frameworks

  • About Neuron frameworks
  • PyTorch Neuron
    • Pytorch Neuron Setup
    • Inference (Inf2, Trn1, Trn2)
      • Tutorials
        • Compiling and Deploying HuggingFace Pretrained BERT on Trn1 or Inf2
        • BERT TorchServe Tutorial
        • LibTorch C++ Tutorial
        • Compiling and Deploying ResNet50 on Trn1 or Inf2
        • T5 model inference on Trn1 or Inf2
      • Additional Examples
        • AWS Neuron Samples GitHub Repository
        • Transformers Neuron GitHub samples
      • API Reference Guide
        • PyTorch NeuronX Tracing API for Inference
        • PyTorch Neuron (torch-neuronx) Weight Replacement API for Inference
        • PyTorch NeuronX NeuronCore Placement APIs
        • PyTorch NeuronX Analyze API for Inference
        • PyTorch NeuronX DataParallel API
      • Developer Guide
        • NeuronCore Allocation and Model Placement for Inference (torch-neuronx)
        • Comparison of Traced Inference versus XLA Lazy Tensor Inference (torch-neuronx)
        • Data Parallel Inference on torch_neuronx
      • Misc
        • PyTorch Neuron (torch-neuronx) release notes
    • Inference (Inf1)
      • Tutorials
        • Computer Vision Tutorials
        • Natural Language Processing (NLP) Tutorials
        • Utilizing Neuron Capabilities Tutorials
      • Additional Examples
        • AWS Neuron Samples GitHub Repository
      • API Reference Guide
        • PyTorch Neuron trace Python API
        • torch.neuron.DataParallel API
        • PyTorch Neuron (torch-neuron) Core Placement API
      • Developer Guide
        • Running Inference on Variable Input Shapes with Bucketing
        • Data Parallel Inference on PyTorch Neuron
        • Developer Guide - PyTorch Neuron (torch-neuron) LSTM Support
        • PyTorch Neuron (torch-neuron) Core Placement
      • Misc
        • PyTorch Neuron (torch-neuron) Supported operators
        • Troubleshooting Guide for PyTorch Neuron (torch-neuron)
        • PyTorch Neuron (torch-neuron) release notes
    • Training
      • Tutorials
        • Hugging Face BERT Pretraining Tutorial (Data-Parallel)
        • Multi-Layer Perceptron Training Tutorial
        • PyTorch Neuron for Trainium Hugging Face BERT MRPC task finetuning using Hugging Face Trainer API
        • ZeRO-1 Tutorial
        • Analyze for Training Tutorial
        • Neuron Custom C++ Operators in MLP Training
        • Neuron Custom C++ Operators Performance Optimization
      • Additional Examples
        • AWS Neuron Reference for Nemo Megatron GitHub Repository
        • AWS Neuron Samples for EKS
        • AWS Neuron Samples for AWS ParallelCluster
        • AWS Neuron Samples GitHub Repository
      • API Reference Guide
        • PyTorch NeuronX neuron_parallel_compile CLI
        • PyTorch NeuronX Environment Variables
        • Neuron Persistent Cache
        • PyTorch NeuronX Profiling API
      • Developer Guide
        • Developer Guide for Training with PyTorch NeuronX
        • How to debug models in PyTorch NeuronX
        • Developer Guide for Profiling with PyTorch NeuronX
      • Misc
        • PyTorch Neuron (torch-neuronx) - Supported Operators
        • How to prepare trn1.32xlarge for multi-node execution
        • PyTorch Neuron (torch-neuronx) for Training Troubleshooting Guide
        • PyTorch Neuron (torch-neuronx) release notes
  • JAX NeuronX
    • JAX NeuronX plugin Setup
    • JAX NeuronX Known Issues
    • API Reference Guide for JAX Neuronx
      • JAX NeuronX Environment Variables
    • JAX NeuronX (jax-neuronx) release notes
  • TensorFlow Neuron
    • Tensorflow Neuron Setup
    • Inference (Inf2 & Trn1)
      • Tutorials
        • HuggingFace Roberta-Base
        • Using NEURON_RT_VISIBLE_CORES with TensorFlow Serving
      • API Reference Guide
        • TensorFlow 2.x (tensorflow-neuronx) Tracing API
        • TensorFlow 2.x (tensorflow-neuronx) Auto Multicore Replication (Beta)
        • TensorFlow 2.x (tensorflow-neuronx) analyze_model API
      • Misc
        • TensorFlow 2.x (tensorflow-neuronx) Release Notes
    • Inference (Inf1)
      • Tutorials
        • Natural Language Processing (NLP) Tutorials
        • Utilizing Neuron Capabilities Tutorials
      • Additional Examples
        • AWS Neuron Samples GitHub Repository
      • API Reference Guide
        • TensorFlow 2.x (tensorflow-neuron) Tracing API
        • TensorFlow 2.x (tensorflow-neuron) analyze_model API
        • TensorFlow 2.x (tensorflow-neuron) Auto Multicore Replication (Beta)
      • Misc
        • TensorFlow 2.x (tensorflow-neuron) Release Notes
        • TensorFlow 2.x (tensorflow-neuron) Accelerated (torch-neuron) Python APIs and Graph Ops

Work with Neuron Libraries

  • About NxD
  • Training
    • Overview
    • Setup
    • App Notes
      • Introducing NxD Training
      • Tensor Parallelism Overview
      • Pipeline Parallelism Overview
      • Activation Memory Reduction
    • API Reference Guide
      • YAML Configuration Settings
    • Developer Guides
      • Integrating a new model
      • Integrating a new dataset/dataloader
      • Registering an optimizer and LR scheduler
      • Migrating from Neuron-NeMo-Megatron to Neuronx Distributed Training
      • NxD Training Compatibility with NeMo
      • CPU Mode Developer Guide
    • Tutorials
      • HuggingFace Llama3.1/Llama3-8B Pretraining
      • HuggingFace Llama3.1/LLama3-8B Supervised Fine-tuning
      • HuggingFace Llama3.1/Llama3-8B Efficient Supervised Fine-tuning with LoRA (Beta)
      • HuggingFace Llama3.1/Llama3-8B Direct Preference Optimization (DPO) and Odds Ratio Preference Optimization (ORPO) based Fine-tuning (Beta)
      • HuggingFace Llama3.1/Llama3-70B Pretraining
      • Checkpoint Conversion
    • Misc
      • NxD Training Release Notes (neuronx-distributed-training)
      • Known Issues and Workarounds
  • Inference
    • Overview
      • NxD Inference Overview
    • Setup
    • Get started
    • Tutorials
      • Tutorial: Deploying Llama3.1 405B (Trn2)
      • Tutorial: Deploying Llama3.2 Multimodal Models
      • Tutorial: Using Speculative Decoding to improve Llama-3.3-70B inference performance on Trn2 instances
      • Tutorial: Scaling LLM Inference with Data Parallelism on Trn2
      • Tutorial: Multi-LoRA serving for Llama-3.1-8B on Trn2 instances
      • Tutorial: Using Speculative Decoding and Quantization to improve Llama-3.1-405B inference performance on Trn2 instances
      • Tutorial: Evaluating Accuracy of Llama-3.1-70B on Neuron using open source datasets
      • Tutorial: Disaggregated Inference [BETA]
      • Tutorial: Static 1P1D Disaggregated Inference on Trn2 [BETA]
      • Tutorial: Using Prefix Caching with Llama-3.3-70B on Trn2 instances
      • Tutorial: Deploying Llama4 Multimodal Models
      • Tutorial: Evaluating Performance of Llama-3.3-70B on Neuron using Performance CLI
      • Generating Images with Black Forest Labs Flux.1-Dev on TRN1/TRN2
    • Developer Guides
      • NxD Inference Features Configuration Guide
      • NxD Inference - Production Ready Models
      • Onboarding models to run on NxD Inference
      • vLLM User Guide for NxD Inference
      • Testing modeling code with NxD Inference
      • Migrating from NxD Core inference examples to NxD Inference
      • Migrating from Transformers NeuronX to NeuronX Distributed(NxD) Inference
      • LLM Inference Benchmarking guide
      • Accuracy Evaluation of Models on Neuron Using Open Source Datasets
      • Custom Quantization
      • Disaggregated Inference [BETA]
      • NxD Inference Weights Sharding Guide
      • How to use on-device Forward Pipeline Execution Mode for optimization
    • API Reference Guide
      • NxD Inference API Reference
    • App Notes
      • Introducing NeuronX Distributed (NxD) Inference
      • Parallelism Techniques for LLM Inference
    • Misc
      • NxD Inference Release Notes (neuronx-distributed-inference)
      • Troubleshooting Guide for NxD Inference
  • Core libraries
    • Setup
    • App Notes
      • Tensor Parallelism Overview
      • Pipeline Parallelism Overview
      • Activation Memory Reduction
      • Context Parallelism Overview
    • API Reference Guide
      • Distributed Strategies APIs
      • Training APIs
      • Inference APIs
      • ModelBuilderV2 API Reference
    • Developer Guide
      • Training Developer Guides
        • Developer guide for Tensor Parallelism
        • Developer guide for Pipeline Parallelism
        • Developer guide for Activation Memory reduction
        • Developer guide for save/load checkpoint
        • Developer guide for Neuron-PT-Lightning
        • Developer guide for model and optimizer wrapper
        • Developer guide for LoRA finetuning
      • Inference Developer Guide
        • Developer guide for Neuronx-Distributed Inference
    • Tutorials
      • Training Tutorials
        • Training using Tensor Parallelism
        • Training Llama 3.1 8B/Llama 3 8B using TP and ZeRO-1
        • Training Llama 3.1 70B/Llama 3 70B using TP and PP
        • Fine-tuning Llama3 8B with tensor parallelism and LoRA using Neuron PyTorch-Lightning
      • Inference Tutorials
        • T5 inference with Tensor Parallelism
    • Misc
      • NxD Core Release Notes (neuronx-distributed)
  • Third-party

Runtime & Collectives

  • Neuron Runtime
    • API Reference Guide
      • Runtime API
    • Configuration Guide
      • Runtime Configuration
    • Explore the Neuron Runtime
      • Compute-Communication Overlap
      • Neuron Device Memory
    • Resources
      • Troubleshooting on Inf1 and Trn1
      • FAQ
      • Neuron Runtime Release Notes
      • Neuron Driver Release Notes
      • Neuron Collectives Release Notes

Neuron Kernel Interface (NKI)

  • Neuron Kernel Interface (NKI)
    • API Reference Manual
      • nki
        • nki.jit
        • nki.benchmark
        • nki.profile
        • nki.baremetal
        • nki.simulate_kernel
        • nki.tensor
      • nki.language
        • nki.language.load
        • nki.language.store
        • nki.language.load_transpose2d
        • nki.language.atomic_rmw
        • nki.language.copy
        • nki.language.broadcast_to
        • nki.language.ndarray
        • nki.language.empty_like
        • nki.language.zeros
        • nki.language.zeros_like
        • nki.language.ones
        • nki.language.full
        • nki.language.rand
        • nki.language.random_seed
        • nki.language.shared_constant
        • nki.language.shared_identity_matrix
        • nki.language.add
        • nki.language.subtract
        • nki.language.multiply
        • nki.language.divide
        • nki.language.power
        • nki.language.maximum
        • nki.language.minimum
        • nki.language.max
        • nki.language.min
        • nki.language.mean
        • nki.language.var
        • nki.language.sum
        • nki.language.prod
        • nki.language.all
        • nki.language.abs
        • nki.language.negative
        • nki.language.sign
        • nki.language.trunc
        • nki.language.floor
        • nki.language.ceil
        • nki.language.mod
        • nki.language.fmod
        • nki.language.exp
        • nki.language.log
        • nki.language.cos
        • nki.language.sin
        • nki.language.tan
        • nki.language.tanh
        • nki.language.arctan
        • nki.language.sqrt
        • nki.language.rsqrt
        • nki.language.sigmoid
        • nki.language.relu
        • nki.language.gelu
        • nki.language.gelu_dx
        • nki.language.gelu_apprx_tanh
        • nki.language.gelu_apprx_sigmoid
        • nki.language.silu
        • nki.language.silu_dx
        • nki.language.erf
        • nki.language.erf_dx
        • nki.language.softplus
        • nki.language.mish
        • nki.language.square
        • nki.language.softmax
        • nki.language.rms_norm
        • nki.language.dropout
        • nki.language.matmul
        • nki.language.transpose
        • nki.language.reciprocal
        • nki.language.bitwise_and
        • nki.language.bitwise_or
        • nki.language.bitwise_xor
        • nki.language.invert
        • nki.language.left_shift
        • nki.language.right_shift
        • nki.language.equal
        • nki.language.not_equal
        • nki.language.greater
        • nki.language.greater_equal
        • nki.language.less
        • nki.language.less_equal
        • nki.language.logical_and
        • nki.language.logical_or
        • nki.language.logical_xor
        • nki.language.logical_not
        • nki.language.ds
        • nki.language.arange
        • nki.language.mgrid
        • nki.language.expand_dims
        • nki.language.where
        • nki.language.gather_flattened
        • nki.language.all_reduce
        • nki.language.static_range
        • nki.language.affine_range
        • nki.language.sequential_range
        • nki.language.par_dim
        • nki.language.psum
        • nki.language.sbuf
        • nki.language.hbm
        • nki.language.private_hbm
        • nki.language.shared_hbm
        • nki.language.program_id
        • nki.language.num_programs
        • nki.language.program_ndim
        • nki.language.spmd_dim
        • nki.language.nc
        • nki.language.device_print
        • nki.language.loop_reduce
        • nki.language.tfloat32
        • nki.language.bfloat16
        • nki.language.float8_e4m3
        • nki.language.float8_e5m2
        • nki.language.tile_size
        • nki.language.fp32
      • nki.isa
        • nki.isa.nc_matmul
        • nki.isa.nc_transpose
        • nki.isa.activation
        • nki.isa.activation_reduce
        • nki.isa.tensor_reduce
        • nki.isa.tensor_partition_reduce
        • nki.isa.tensor_tensor
        • nki.isa.tensor_tensor_scan
        • nki.isa.scalar_tensor_tensor
        • nki.isa.tensor_scalar
        • nki.isa.tensor_scalar_reduce
        • nki.isa.tensor_copy
        • nki.isa.tensor_copy_dynamic_src
        • nki.isa.tensor_copy_dynamic_dst
        • nki.isa.tensor_copy_predicated
        • nki.isa.reciprocal
        • nki.isa.iota
        • nki.isa.dropout
        • nki.isa.affine_select
        • nki.isa.range_select
        • nki.isa.select_reduce
        • nki.isa.sequence_bounds
        • nki.isa.memset
        • nki.isa.bn_stats
        • nki.isa.bn_aggr
        • nki.isa.local_gather
        • nki.isa.dma_copy
        • nki.isa.dma_transpose
        • nki.isa.max8
        • nki.isa.nc_find_index8
        • nki.isa.nc_match_replace8
        • nki.isa.nc_stream_shuffle
        • nki.isa.engine
        • nki.isa.reduce_cmd
        • nki.isa.dge_mode
        • nki.isa.nc_version
        • nki.isa.get_nc_version
      • nki.compiler
        • nki.compiler.sbuf.alloc
        • nki.compiler.sbuf.mod_alloc
        • nki.compiler.sbuf.auto_alloc
        • nki.compiler.psum.alloc
        • nki.compiler.psum.mod_alloc
        • nki.compiler.psum.auto_alloc
        • nki.compiler.skip_middle_end_transformations
        • nki.compiler.enable_stack_allocator
        • nki.compiler.force_auto_alloc
      • NKI API Common Fields
      • NKI API Errors
    • Developer Guide
      • Getting Started with NKI
      • NKI Programming Model
      • NKI Kernel as a Framework Custom Operator
      • NeuronDevice Architecture Guide for NKI
        • Trainium/Inferentia2 Architecture Guide for NKI
        • Trainium2 Architecture Guide for NKI
      • Profiling NKI kernels with Neuron Profile
      • NKI Performance Guide
      • NKI Direct Allocation Developer Guide
      • NKI Block Dimension Migration Guide
    • Tutorials
      • Single program, multiple data tensor addition
      • Single program, multiple data tensor addition using multiple Neuron Cores
      • Transpose2D
      • AveragePool2D
      • Matrix multiplication
      • RMSNorm
      • LayerNorm
      • Fused Self Attention
      • Fused Mamba
    • Kernels
    • Misc
      • NKI FAQ
      • What's New
      • NKI Known Issues
  • NKI Samples and Tutorials
    • Matrix multiplication
    • LayerNorm
    • RMSNorm
    • AveragePool2D
    • Transpose2D
    • Fused Self Attention
    • Fused Mamba
    • Single program, multiple data tensor addition
    • Single program, multiple data tensor addition using multiple Neuron Cores

Compiler

  • Neuron Compiler
    • NeuronX Compiler for Trn1 & Inf2
      • API Reference Guide
        • Neuron Compiler CLI Reference Guide
      • Developer Guide
        • Mixed Precision and Performance-accuracy Tuning (neuronx-cc)
        • How to Use Convolution Kernels in UNet Training Models
      • Misc
        • FAQ
        • What's New
    • Neuron Compiler for Inf1
      • API Reference Guide
        • Neuron compiler CLI Reference Guide (neuron-cc)
      • Developer Guide
        • Mixed precision and performance-accuracy tuning (neuron-cc)
      • Misc
        • FAQ
        • What's New
        • Neuron Supported operators
  • Neuron C++ Custom Operators
    • API Reference Guide
      • Custom Operators API Reference Guide [Beta]
    • Developer Guide
      • Neuron Custom C++ Operators Developer Guide [Beta]
    • Tutorials
      • Neuron Custom C++ Operators in MLP Training
      • Neuron Custom C++ Operators Performance Optimization
    • Misc (Neuron Custom C++ Operators)
      • Neuron Custom C++ Tools Release Notes
      • Neuron Custom C++ Library Release Notes

Legacy software and docs

  • Apache MXNet
    • MXNet Neuron Setup
    • Inference (Inf1)
      • Tutorials
        • Computer Vision Tutorials
        • Natural Language Processing (NLP) Tutorials
        • Utilizing Neuron Capabilities Tutorials
      • API Reference Guide
        • Neuron Apache MXNet Compilation Python API
      • Developer Guide
        • Flexible Execution Group (FlexEG) in Neuron-MXNet
      • Misc
        • Troubleshooting Guide for Neuron Apache MXNet
        • What's New
        • Neuron Apache MXNet Supported operators
  • Archived content
    • Fine-tune T5 model on Trn1
    • Running SSD300 with AWS Neuron
    • Megatron GPT Pretraining
  • Repository
  • Open issue

Posts tagged announce-no-support-nemo-megatron

Neuron no longer supports NeMo Megatron starting this release

  • 15 May 2025
  • en
  • announce-no-support-nemo-megatron

Starting with Neuron release 2.23, Neuron no longer supports NeMo Megatron.

All users of AWS Neuron Reference for NeMo Megatron are requested to migrate their training workloads to NxD Training. Please refer to Neuron NeMo Megatron to NeuronX Distributed Training Migration Guide for guidance.

Read more ...

By AWS

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