---
id: 20260409-T0-08
title: "MegaTrain实现单GPU全精度训练1000亿参数大模型"
title_en: "MegaTrain Enables Full Precision Training of 100B+ Models on Single GPU"
url: https://ai.daily.yangsir.net/daily/20260409-T0-08
issue_date: 2026-04-09
publish_date: 2026-04-08T04:00:00.000Z
source_name: "arXiv cs.CL (NLP)"
source_url: https://arxiv.org/abs/2604.05091
---

# MegaTrain实现单GPU全精度训练1000亿参数大模型

研究提出MegaTrain系统，可在单GPU上全精度训练1000亿以上参数的大模型。传统GPU中心化系统将参数和优化器状态存储在显存中，而MegaTrain采用内存中心化设计，将数据存储在主机内存（CPU）中，通过优化数据传输实现高效训练。这一突破降低了大规模模型训练的硬件成本门槛，使更多研究机构能够训练超大规模模型。

## English Version

**MegaTrain Enables Full Precision Training of 100B+ Models on Single GPU**

Researchers present MegaTrain, a memory-centric system that efficiently trains 100B+ parameter LLMs at full precision on a single GPU. Unlike traditional GPU-centric systems storing data in VRAM, MegaTrain uses host memory (CPU) and optimizes data transfers. This breakthrough lowers hardware costs for training massive models, making it accessible to more research institutions.

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**来源**：[arXiv cs.CL (NLP)](https://arxiv.org/abs/2604.05091)

**详情页**：https://ai.daily.yangsir.net/daily/20260409-T0-08

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*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*