NeMo

Nov 06, 2026

Accelerating Reinforcement Learning Weight Refit with the Reshard Collective

During reinforcement learning (RL) post-training, training trajectories are generated on the fly by running inference with the current policy model. For...
11 MIN READ
Nov 04, 2026

How NVIDIA Uses AI Agents to Streamline AI Factory Operations

As GPU clusters scale, operations span compute, network, hardware, and scheduling. Site reliability engineers (SREs) often have to examine multiple dashboards...
6 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
Glowing green AI network illustration in front of server racks.
Oct 30, 2026

Build a Validated Kubernetes Runtime for NVIDIA Dynamo

Teams building AI applications need a repeatable path from a model configuration to a working inference endpoint. NVIDIA Dynamo is a distributed inference...
14 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
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
Oct 21, 2026

Design Proteins with RFD4-Proteina Using Reward-Guided Inference-Time Search

Protein design is a search problem. Choose amino acids for an eight-residue protein sequence and more than 25 billion combinations are possible. Choose amino...
12 MIN READ
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
Oct 15, 2026

Scale Agentic Coding Workflows with Meta’s Muse Spark Open on NVIDIA GB300 NVL72  

Meta launches Muse Spark Open, a coding-optimized 816B mixture-of-experts (MoE) model with 42B active parameters and a 1M token context window. Trained on...
6 MIN READ
A glowing network cube connected by green arrows to a developer, code blocks, a checklist, and a rising bar chart.
Oct 14, 2026

Optimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym

AI agents offer remarkable productivity gains in complex chip design workflows, but their tendency to generate plausible yet incorrect artifacts makes...
8 MIN READ
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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
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
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