Agentic AI / Generative AI

Aug 24, 2026

NVIDIA Vera Rubin and Blackwell Set a New Standard for Agentic AI Performance per Watt

AI agents have expanded inference from single-turn interactions into multi-step workflows that reason, invoke tools, coordinate subagents, and carry growing...

9 MIN READ

Aug 24, 2026

Solving Agentic AI Fleet Challenges with NVIDIA Vera CPU

AI factories are interconnected systems where fleet economics depend on how efficiently the entire stack converts power and capital into completed agent tasks....

7 MIN READ

Aug 24, 2026

How NVIDIA Groq 3 LPX Unlocks Ultrafast Interactivity at Long Context on NVIDIA Vera Rubin

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, the...

13 MIN READ

Aug 21, 2026

NVIDIA AVO Reaches 100% on ARC-AGI-3, Demonstrating a Frontier-Level General-Purpose Architecture for Long-Horizon Autonomous Agents

A frontier language model is only one component of an AI agent. The surrounding agent system—often called a harness—determines how the model receives context,...

10 MIN READ

Aug 21, 2026

Where Security Fits in an AI Agent Stack

As AI agents become more capable and operate over longer horizons, building security and trust into the applications they power becomes increasingly important....

9 MIN READ

Aug 20, 2026

How Generative Recommenders Are Redefining RecSys at Scale

Recommender systems (RecSys) are one of the most ubiquitous machine learning problems in the consumer internet industry yet notoriously difficult to train and...

11 MIN READ

Aug 19, 2026

Developing NVIDIA Holoscan Applications with CLI, Skills, and AI Coding Agents

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...

11 MIN READ

Aug 19, 2026

Building Federated Multimodal AI Workflows with NVIDIA FLARE

Modern vision-language models (VLMs) can support tasks such as visual question answering, captioning, and image-text reasoning. In practice, however, the data...

7 MIN READ

Aug 19, 2026

Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control

Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for...

10 MIN READ

Aug 19, 2026

Evaluating AI Agent Skill Performance with NVIDIA SkillEvaluator

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...

8 MIN READ

Aug 18, 2026

How AI Coding Agents Can Unlock Materials Simulation with NVIDIA ALCHEMI Toolkit

Atomistic simulation requires three things: knowledge of the science, compute-efficient implementation of simulations, and accessible interfaces to the...

13 MIN READ

Aug 17, 2026

Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer

Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find...

18 MIN READ

Aug 12, 2026

Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72

Alibaba released the open weights for Qwen3.8-2.4T-A95B (Qwen3.8-Max), its largest open-weight model, bringing near-frontier capabilities to the open...

4 MIN READ

Aug 11, 2026

NVIDIA JetPack 7.2.1 Adds Agentic Video Skills and T3000 Emulation

Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media...

7 MIN READ

Aug 11, 2026

NVIDIA Nemotron 3.5 Lightning Delivers Fast, Accurate Specialized Task Execution for Long-Running Agents

Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning...

8 MIN READ

Aug 11, 2026

Route AI Agent Workloads Across Models with NVIDIA NeMo Switchyard

Building an AI agent does not end with choosing a single model. Each model has its own strengths, weaknesses, and cost profile, which can shift from one...

12 MIN READ