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#distributed-training

The latest AI and developer news about #distributed-training, with the original source and a short summary.

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Templar Publishes Fault Tolerance Simulation for Pipeline Parallel Training

·2026.09.23 00:00

PyTorch 2.14 Release: NVGEMM Backend, c10d Fault Tolerance, Python 3.15 Wheel Support (feat. torchvision 0.29)

·2026.09.03 22:00

AWS Computing Selection Guide for Distributed Learning (Part 3: Cluster Construction and Operations)

·2026.08.12 19:00

Cursor Releases MoE Kernel for NVL72

·2026.08.07 12:00

AWS Compute Selection Guide for Distributed Training (Part 2: Ultra-Scale Scaling and Instance Availability)

·2026.08.03 12:00

NVIDIA Exemplar Cloud: How to Get the Most Out of AI Infrastructure Performance

·2026.07.31 09:00

Extending PyTorch Monarch to AMD GPUs

·2026.07.26 00:00

SLAI T-Rex Optimizes DeepSeek-V4 Training with Ascend NPU

·2026.07.23 17:00

AWS Compute Selection Guide for Distributed Training (Part 1: Model Scale and Hardware Selection)

·1·2026.07.21 21:00

NVIDIA-HuggingFace Unveil Integrated Diffusion Model Training

·1·2026.07.18 00:00

Optimization Methods for Large-Batch SGD Training

·2026.07.16 19:00

Successful Distributed RL Training on Mac-based Infrastructure

·2026.07.16 01:00

AMD GPU Support in PyTorch Monarch: Single-Controller Distributed Training on ROCm

·2026.07.07 09:00

How Pinterest Achieved Near-Linear Training Scalability for Its Foundation Model

·2026.06.26 01:00

Show HN: Could Europe train a frontier AI model using the computing resources it already has?

·2026.06.15 22:00

AWS Interconnect Technology for Distributed Training: An Introduction to High-Speed GPU-to-GPU Communication

·2026.05.28 13:00

Cursor Releases Composer 2.5

·2026.05.18 09:00

Key Changes in PyTorch 2.12

·2026.05.14 09:00

Introduction to AWS Interconnect Technology from a Distributed Training Perspective - GPU-to-GPU Communication Using NCCL in AWS Environments

·2026.05.12 13:00

AWS Organizes Foundation Model Infrastructure

·1·2026.05.12 08:00

Building Large-Scale AI Training Networks with MRC (Multipath Reliable Connection)

·4·2026.05.07 00:00

How to Scale Models

·2026.05.06 09:00

128x compression

·2026.04.17 00:00

Introducing AWS Interconnect Technology from a Distributed Training Perspective - AWS's Interconnect Foundation Technology, ENI

·2026.04.14 12:00

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#distributed-training | AI Briefing