AI factory

2026-10-26

COMPANIES · 1 SOURCE · NVIDIA Developer

NVIDIA Mission Control 2.5 adds autonomous recovery for Kubernetes workloads via Run:ai

NVIDIA Mission Control 2.5 extends its autonomous recovery engine — which detects, diagnoses, and recovers from failures — to Kubernetes-based AI workloads managed by NVIDIA Run:ai. The release introduces a three-layer control loop coordinating the Kubernetes scheduler, job recovery, and hardware recovery services, and notes additional features such as AI-enabled network anomaly detection with documentation and release notes available for upgrading.

6.0

2026-10-07

COMPANIES · 1 SOURCE · NVIDIA Developer

NVIDIA positions DSX Air digital twin and Brev for pre-production AI‑factory validation

NVIDIA DSX Air provides a node-based digital twin that models AI factory infrastructure and software interfaces so teams can validate supported configurations and integrations before hardware arrives. Agentic workflows interrogate the twin, run checks against policy and produce evidence-backed recommendations, while NVIDIA Brev supplies on-demand GPU compute that connects to the DSX Air environment; the company also demonstrates the pattern via its AI Blueprint for Video Search and Summarization.

6.0

2026-09-15

COMPANIES · 1 SOURCE · NVIDIA Developer

How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories

An NVIDIA Developer article outlines how NVLink 6 is designed to provide multi-layer resiliency for large-scale AI training clusters, aiming to help operators maximize continuous GPU output and maintain productivity in massive AI "factories."

7.0

2026-08-24

COMPANIES · 1 SOURCE · NVIDIA Developer

Maximizing AI Factory Performance per Watt with NVIDIA DSX MaxLPS

An NVIDIA Developer article argues that modern AI factories are increasingly power-constrained and that the key metric has shifted from GPU count to AI output per watt. It presents NVIDIA DSX MaxLPS as an approach for improving performance-per-watt in AI deployments and discusses related system- and infrastructure-level considerations.

6.0