Nemotron

Illustration of a central AI model connecting code, charts, credit memo data extraction, and video analysis.
Oct 15, 2026

NVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning

Always-on agents are taking on longer, more complex enterprise workflows. A single request can involve reading a document, checking information across sources,...
11 MIN READ
A cube assembled from smaller dark blocks, with glowing cyan, pink, yellow, and green sections against a black background.
Oct 12, 2026

ReplaySSM: Rethinking State Storage for Faster Hybrid-Model Decoding

Hybrid models interleave state-space model (SSM) layers with a few attention layers. NVIDIA Nemotron 3, Qwen3.5 through Qwen3.8, Kimi-K3, and GLM-5.3-Flash are...
14 MIN READ
Observatory dome beneath curved star trails in the night sky.
Oct 07, 2026

Faster Scientific Image Analysis with NVIDIA cuPhoton

Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can...
18 MIN READ
Oct 06, 2026

Scale Bitwise-Deterministic Pretraining with NVIDIA Megatron Core

Bitwise determinism makes large-scale pretraining easier to debug, validate, and resume reproducibly. These benefits become especially valuable when training...
11 MIN READ
Sep 30, 2026

Fine-Tuning NVIDIA Nemotron for Saudi Arabic Dialects, with a Path to Other Languages

Automatic speech recognition must handle how people actually speak, not only the languages and styles that dominate pretraining data. Regional dialects and...
13 MIN READ
Sep 29, 2026

Lower the Cost of Building and Running Visual AI Agents with NVIDIA VSS Blueprint 3.3

Vision-language models have made it possible to build visual AI agents that understand video at production scale. The harder problem is turning that capability...
11 MIN READ
Sep 21, 2026

How to Evaluate AI Agents From Tool Calls to Task Completion

When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live environment, and...
11 MIN READ
Sep 16, 2026

How to Use AI Agents to Prepare 3D Scenes for Simulation

Agentic AI workflows can be used to prepare and validate digital twins for physical AI systems. Agents can inspect 3D scenes, author simulation-relevant data...
18 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

How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra

Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as...
6 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
An illustration showing agentic security.
Sep 01, 2026

Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron

AI is changing the pace of cybersecurity. Agentic systems can coordinate work and pursue complex objectives over long horizons. Security teams are beginning to...
11 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
Aug 21, 2026

GPU-Accelerated Clustering for Financial Instruments at Scale

Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters, soft factor...
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