2+ day, 8+ hour ago  (693+ words) High'quality 3 D medical imaging data is the foundation of modern radiology AI, but access to it is often constrained by data scarcity, privacy restrictions, and the high cost of expert annotation. As a result, training reliable 3 D medical imaging models…...

3+ day, 6+ hour ago  (264+ words) The GPU Usage Monitor, built on the'NVIDIA Data Center GPU Manager (DCGM) Exporter, enables real-time visibility into GPU allocation, compute utilization, memory consumption, and pod status across an entire Kubernetes cluster and through a single Helm chart deployment. For site…...

3+ day, 3+ hour ago  (807+ words) In quantitative finance, researchers build algorithms to trade assets, derivatives, and other financial instruments. A key part of that work is finding signals: patterns in messy market data that may help predict future returns. These signals can come from price…...

3+ day, 6+ hour ago  (530+ words) This post explains how Slurm topology-aware job scheduling works on NVIDIA GB200 NVL72, and provides scheduling recommendations for optimal GPU occupancy. In a shared cluster running multiple training jobs, a resource-efficient scheduler must account for varying network bandwidth requirements." This topology plugin…...

3+ day, 9+ hour ago  (1413+ words) Telcos around the world are building sovereign AI factories based on the NVIDIA Cloud Partner (NCP) reference architecture, giving governments, enterprises, and startups access to in'country AI infrastructure with the right controls, trust, and performance. But infrastructure alone doesn't get…...

4+ day, 2+ hour ago  (1518+ words) Autonomous AI agents are taking on all types of work for businesses: routing logistics fleets, triaging support tickets, generating code, and orchestrating multistep workflows. How do you take a general-purpose model and make it excel at your specific task? Customization…...

5+ day, 57+ min ago  (852+ words) Teams building these agents must ground them in enterprise data, connecting data sources, routing queries, managing authentication, tuning prompts, evaluating outputs, and preserving source attribution. NVIDIA AI-Q packages this work into an open-source deep research blueprint that can be exposed…...

5+ day, 5+ hour ago  (542+ words) This post explains the key differences between model and agent evaluation and walks through five practical tips for evaluating AI agents as production systems. This evaluation approach focuses on trajectories, tools, and outcomes'not just model scores. While model and agent…...

1+ week, 3+ day ago  (517+ words) NVIDIA Vera Rubin NVL72 handles the bulk of that inference load as the core compute engine of the NVIDIA Vera Rubin platform. The most demanding emerging multi-agent workloads require sustained low-latency and high-throughput generation on trillion-parameter Mo E models with long-context…...

1+ week, 4+ day ago  (737+ words) The acquired multidimensional datasets contain rich physical information about the fastest microscopic movements of electrons and atoms, which can help identify defects in materials. Processing and analyzing these datasets to extract the physics has conventionally required more than nine months…...