SimpleScale: Simplifying the Training of an LLM Model Using 1024 GPUs

SimpleScale: Simplifying the Training of an LLM Model Using 1024 GPUs

LLMs are trained using many thousands of GPUs in well-known conventional models. It is necessary to address numerous issues in the training process, such as manual data collection organization, data parallel, model parallel, evaluation, testing, deployment, transferring large data streams, detecting...

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Bibliographic Details
Main Authors: Tianfa Li, Jingshan Pan, Siwei Ma, Aleksandr Raikov, Alexander Arkhipov
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
training
Slurm
FSDP
dynamic hybrid shared strategy
flash attention
Online Access:https://www.mdpi.com/2076-3417/15/15/8265
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