Deepak Vij·Oct 16Inside an NVIDIA AI Cluster: From One B200 to a SuperPODIn my previous role as an applied researcher, I was handed “a machine with 8 B200 GPUs.” I used it for months (to perform…
InMajor DigestbyValentin Podkamennyi·Apr 9UALink 2.0 Advances AI Interconnect TechnologyThe UALink Consortium has released version 2.0 of its specification, aiming to provide an open-source alternative for AI interconnects.
Lalit Somavarapha·Jan 27Optimizing GPU Workload Placement in Kubernetes with NVLink-Aware SchedulingThe hidden performance tax
Samarth Narang·Nov 16, 2025How GPUs Talk: A Practical Guide to Multi-GPU Training and CommunicationAn in-depth exploration of multi-GPU training techniques and the communication patterns that enable efficient distributed machine learning.
