InfoQ

AWS Unveils Gemini, a Distributed Training System for Swift Failure Recovery in Large Model Training

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Nature

Distributed Deep Learning and Model Parallelism

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...
EurekAlert!

A fault tolerant framework for distributed training with negligible overhead

In the context of deep learning model training, checkpoint-based error recovery techniques are a simple and effective form of fault tolerance. By regularly saving the ...
Business Wire

Hammerspace Unveils Reference Architecture for Large Language Model Training

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the Next Data Cycle, today released the data architecture being used for training inference for Large Language Models (LLMs) ...
Geeky Gadgets

Unsloth : The Secret Weapon for Faster Machine Learning Models

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...
Security Boulevard

NDSS 2025 – DLBox: New Model Training Framework For Protecting Training Data

Jaewon Hur (Seoul National University), Juheon Yi (Nokia Bell Labs, Cambridge, UK), Cheolwoo Myung (Seoul National University), Sangyun Kim (Seoul National University), Youngki Lee (Seoul National ...