Agentic AI / Generative AI

A picture of a protein molecule.
Aug 31, 2026

Run NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science

Agentic AI is changing how research is done. AI scientists can read papers, propose hypotheses, call models, and determine which experiments to prioritize...
12 MIN READ
Aug 26, 2026

How to Train a Cross-Embodiment Robot Navigation Policy with AI Agents

Navigation enables a robot to turn perception and motion into purposeful autonomy. Unlike locomotion, which produces stable movement, navigation must be used...
16 MIN READ
Decorative image.
Aug 26, 2026

Experiment with Qwen3.8-Flash-Next on NVIDIA GB300 NVL72 for Agentic Coding

Alibaba released the model weights for Qwen3.8-Flash-Next as a preview of the upcoming Qwen4 architecture for developers to experiment with and evaluate. It’s...
4 MIN READ
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Aug 25, 2026

Restore LLM Inference Capacity in Seconds with Shadow Engine Recovery in NVIDIA Dynamo

When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels,...
13 MIN READ
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
Vera CPU render.
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
A robot picking up a tool.
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
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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