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How Generative Recommenders Are Redefining RecSys at Scale
3+ week, 4+ day ago (347+ words) Recommender systems (RecSys) are one of the most ubiquitous machine learning problems in the consumer internet industry yet notoriously difficult to train and…...
How AI Coding Agents Can Unlock Materials Simulation with NVIDIA ALCHEMI Toolkit
3+ week, 6+ day ago (887+ words) The third barrier has persisted. Unlike classical force fields, the MLIP ecosystem is still nascent, and the accessible interfaces that exist for classical simulations are very limited. They run on a different software stack than the tools many computational chemists…...
Where Security Fits in an AI Agent Stack
3+ week, 2+ day ago (339+ words) As AI agents become more capable and operate over longer horizons, building security and trust into the applications they power becomes increasingly important....
NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories
2+ week, 6+ day ago (205+ words) North-south networks provide the access path into and out of a data center, connecting users, applications, data sources, storage systems, and services to individual systems. Traditional cloud data centers built these networks around software-defined infrastructure, composability, and elasticity, so resources…...
How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra
3+ day, 6+ hour ago (470+ words) How full-stack serving optimizations increase user capacity on a 4xB200 system at a concrete interactivity target Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as possible…...
Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron
1+ week, 5+ day ago (324+ words) Continuous offense-defense testing creates this feedback loop. Controlled attacks produce the telemetry and ground truth defensive agents need to expose gaps, improve coverage, and retest. However, the end-to-end cycle still requires significant manual effort. Could red and blue agents powered…...
NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt
2+ week, 6+ day ago (443+ words) AgentX is the agentic-coding benchmark in InferenceX, SemiAnalysis’s open-source benchmark suite. It measures how efficiently accelerators serve the request patterns produced by real coding agents. Agentic sessions are long, stateful, and variable: they chain model calls, tool use, and growing…...
From Wafer-Out to First Token: Codifying Supply Chain Expertise with Nemotron and Palantir Foundry
3+ day, 18+ hour ago (1065+ words) With highly dynamic availability, NVIDIA must decide what and how much material to allocate to each manufacturing site. This is known as the critical material allocation problem, and it is manually reworked every week. The allocation runs through the current…...
Evaluating AI Agent Skill Performance with NVIDIA SkillEvaluator
3+ week, 4+ day ago (607+ words) AI agents are only as effective as the context they receive. Even with capable models and well-documented NVIDIA libraries, agents can spend extra steps finding…...
How NVIDIA Groq 3 LPX Unlocks Ultrafast Interactivity at Long Context on NVIDIA Vera Rubin
2+ week, 6+ day ago (423+ words) NVIDIA Groq 3 LPX is the interactive AI inference accelerator for the NVIDIA Vera Rubin platform. At the core of the platform is NVIDIA Vera Rubin NVL72…...