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Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron
1+ week, 4+ 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…...
How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents
2+ week, 3+ day ago (1465+ words) Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used to continuously localize the robot, interpret changing surroundings, select a route, and avoid obstacles to reach a goal…...
NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories
2+ week, 5+ 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…...
NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt
2+ week, 5+ 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…...
Solving Agentic AI Fleet Challenges with NVIDIA Vera CPU
3+ week, 1+ day ago (289+ words) The shape of an agentic trajectory is defined by its length and width (Figure 2). This is why the relevant optimization target for an agentic CPU fleet is the total number of completed user sessions, not raw core count. High-core-count systems…...
GPU-Accelerated Clustering for Financial Instruments at Scale
3+ week, 1+ day ago (840+ words) The practical difficulty is that the right groupings are neither directly observable nor stable. Factor exposures drift, instruments change classifications, and dependencies can change sharply during market stress. A clustering pipeline must therefore separate routine variation from structural change and…...
NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents
3+ week, 2+ day ago (1011+ words) The research project elevates Claude Opus 5 from a 30% model baseline to 100% as part of the complete AVO agent system, showing that system design—not model capability alone—can unlock frontier-level long-horizon performance This post introduces the AVO architecture and the…...
Evaluating AI Agent Skill Performance with NVIDIA SkillEvaluator
3+ week, 4+ day ago (972+ words) NVIDIA SkillEvaluator is an open source tool for measuring how skills affect agent performance through static checks and real-world task runs with and without each skill. NVIDIA verified Skills are packaged, signed capability descriptors that tell an agent exactly what…...