LLMs

Factory Manager Agent illustration surrounded by a humanoid robot, a circuit board, an electronics production line, and automated material handling equipment.
Nov 04, 2026

How NVIDIA Factory Operations Blueprint Coordinates AI Agents to Investigate Production Issues

A Siemens report estimates that unplanned downtime costs an average large plant in the surveyed sectors $253 million per year. Whether investigating a failed...
9 MIN READ
A glowing network cube connected by green arrows to a developer, code blocks, a checklist, and a rising bar chart.
Nov 04, 2026

Use NVIDIA NeMo to Turn Agent Failures into Tests and Harness Fixes

Turn production evidence into prioritized issues and custom evaluations that help you improve prompts, tools, models, memory, skills, and harness code. When...
8 MIN READ
Oct 30, 2026

Run AI Models for Edge Application Development with Just a Few Commands

AI is expanding beyond the data center as developers build a new generation of agents to act at the edge: monitoring driver attention and cabin conditions,...
5 MIN READ
Orange lobster character holding a green shield with a padlock beside a computer displaying code and an NVIDIA DGX Spark on a desk.
Oct 30, 2026

Build Specialized Agents on a Stack You Control with NVIDIA NemoClaw

Building an autonomous agent requires a model, a harness, and domain-specific tools. To deploy an agent more securely, developers need a runtime that enforces...
7 MIN READ
Oct 27, 2026

Fine-Tuning NVIDIA Nemotron to Know Local Rules, Not Just Local Languages

As AI adoption expands globally, people across languages and cultures are using it in more aspects of their daily lives. General-purpose language models serve...
15 MIN READ
Abstract green computing cube with layered panels, performance icons, and streams of data on a black background
Oct 27, 2026

3 Ways to Boost MoE Inference on NVIDIA DGX Spark

Generating tokens faster starts with identifying what limits inference performance. In the batch-size-1 evaluation of Ling-3.0-flash from Inclusion AI on...
8 MIN READ
Oct 22, 2026

Running Frontier-Class AI Models Across 8 NVIDIA DGX Spark Nodes

AI developers aren’t just running a single model anymore—they’re orchestrating multiple models in parallel, chaining inference calls, and experimenting with...
9 MIN READ
Illustration of a developer at code screens, with a camera and Nous logo beside task success panels showing 70% and 81%.
Sep 30, 2026

Tracing Agent Harness Behavior with NVIDIA NeMo Relay

An agent can finish a task and still take an inefficient path. A failed search can trigger another search. A truncated file read can lead to a command fetching...
12 MIN READ
Sep 18, 2026

Benchmarking LLM Inference at Scale with AIPerf

You’re deploying a model on a system. It starts up, prompts are getting responses. Now the hard question: Is this fast? Your instincts might lead you to send...
11 MIN READ
Sep 15, 2026

Dense vs. MoE Models: Active Parameters, Throughput, and When to Choose Each

How can a 30B-parameter model activate only 3B parameters per token, and still use the capacity of the larger model? Nemotron 3.5 Lightning illustrates the...
9 MIN READ
Sep 10, 2026

From Wafer-Out to First Token: Codifying Supply Chain Expertise with Nemotron and Palantir Foundry

NVIDIA has one of the largest and most complex supply chains in the world, and its performance is measured from wafer-out to first token. The interval is in...
12 MIN READ
Sep 04, 2026

Building a Memory-Driven Agent with NVIDIA NemoClaw

Enterprise work spans messages, decisions, projects, and obligations that change over time. An AI agent that starts without this context must reconstruct it...
6 MIN READ
Sep 02, 2026

Co-Designing AI Models Using Speculative Decoding for Faster LLM Inference

This post is the third in a series on AI model co-design. It explores how to accelerate LLM inference while maintaining accuracy using speculative decoding and...
15 MIN READ
Decorative image.
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
Decorative image.
Jul 27, 2026

Six Agent Harness Capabilities for Higher Model Performance

Building a great AI agent isn’t just about choosing the right models. The harness is the architecture surrounding the model. How it renders context, executes...
10 MIN READ
Jul 26, 2026

NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding

Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware...
9 MIN READ