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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…...
Scale AV Perception Across Vehicle Platforms with NVIDIA Omniverse NuRec
2+ week, 2+ day ago (1227+ words) Collecting and labeling a new real-world dataset for every carline is expensive and may not be possible early in vehicle development. New fleets may not be available, and rare conditions can’t always be captured. Real-world driving data remains essential for…...
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…...
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…...
Solving Agentic AI Fleet Challenges with NVIDIA Vera CPU
3+ week, 2+ day ago (23+ words) AI factories are interconnected systems where fleet economics depend on how efficiently the entire stack converts power and capital into completed agent tasks....
NVIDIA BlueField-4 Powers New Scale-In Network Infrastructure for Agentic AI Factories
2+ week, 6+ day ago (21+ words) Traditional cloud infrastructure was designed for predictable, general-purpose workloads and standard interfaces. Agentic AI factories connect diverse users…...
Where Security Fits in an AI Agent Stack
3+ week, 3+ day ago (708+ words) AI safety and security teams at NVIDIA explore where security controls belong as AI agents take on increasingly complex work. Recent NVIDIA research underscores the importance of the harness layer in the agent stack. Using Agentic Variation Operators (AVO), researchers…...
NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents
3+ week, 3+ 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…...
Developing NVIDIA Holoscan applications with CLI, skills, and AI coding agents
3+ week, 4+ day ago (1013+ words) NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a growing collection of reference applications and components that demonstrate what’s possible. We wanted to explore how…...
Evaluating AI Agent Skill Performance with NVIDIA SkillEvaluator
3+ week, 5+ 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…...