# Enhancing Goodput in Large-Scale LLM Training with Nonuniform Tensor Parallelism

DevFeed: [Enhancing Goodput in Large-Scale LLM Training with Nonuniform Tensor Parallelism](<https://devfeed.tech/articles/enhancing-goodput-in-large-scale-llm-training-with-nonuniform-tensor-parallelism-6815.md>)

Original publisher: [Read original article](<https://developer.nvidia.com/blog/enhancing-goodput-in-large-scale-llm-training-with-nonuniform-tensor-parallelism/>)

Author: Michelle Horton

Published: 2026-07-06T21:44:23Z

Content type: article

Language: en

Sources: [NVIDIA Developer](<https://devfeed.tech/sources/nvidia-developer.md>), [NVIDIA Technical Blog](<https://devfeed.tech/sources/nvidia-technical-blog.md>)

Topics: [GPU](<https://devfeed.tech/topics/gpu.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Training AI Models](<https://devfeed.tech/topics/training-ai-models.md>), [LLM Techniques](<https://devfeed.tech/topics/llm-techniques.md>), [NVLink](<https://devfeed.tech/topics/nvlink.md>), [Availability](<https://devfeed.tech/topics/availability.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [Network](<https://devfeed.tech/topics/network.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-training](<https://devfeed.tech/tags/ai-training.md>), [availability](<https://devfeed.tech/tags/availability.md>), [blackwell](<https://devfeed.tech/tags/blackwell.md>), [data-center-cloud](<https://devfeed.tech/tags/data-center-cloud.md>), [developer-tools-techniques](<https://devfeed.tech/tags/developer-tools-techniques.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [featured](<https://devfeed.tech/tags/featured.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [llm](<https://devfeed.tech/tags/llm.md>), [llm-techniques](<https://devfeed.tech/tags/llm-techniques.md>), [mlops](<https://devfeed.tech/tags/mlops.md>), [network](<https://devfeed.tech/tags/network.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-blackwell](<https://devfeed.tech/tags/nvidia-blackwell.md>), [nvlink](<https://devfeed.tech/tags/nvlink.md>), [performance](<https://devfeed.tech/tags/performance.md>), [scale](<https://devfeed.tech/tags/scale.md>), [training](<https://devfeed.tech/tags/training.md>), [work](<https://devfeed.tech/tags/work.md>)

## AI overview

This article explains how Nonuniform Tensor Parallelism can improve Goodput in large-scale LLM training by adapting tensor parallelism to changing GPU availability and overlapping data resharding. The experimental approach aims to reduce interruptions, lost throughput, and computational waste in tightly interconnected GPU clusters.

## Source excerpt

Training LLMs at massive scale brings unique infrastructure challenges, especially as jobs span thousands of GPUs and run for extended periods. The longer these...