NeMo
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 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
Jul 29, 2026
How to Self-Host a Validated AI Coding Assistant with NVIDIA NeMo Guardrails
Deploying an AI coding assistant in a regulated, sovereign, or source-sensitive environment, often comes with challenges. Three common issues are: the source...
14 MIN READ
Jul 26, 2026
Advancing Semiconductor Innovation Across Materials Engineering and Manufacturing
As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have...
7 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
Jul 23, 2026
Start Customizing NVIDIA Nemotron 3 Nano with Prime Intellect Lab in Minutes
Customization is what enables developers to take a general model and tailor it to use cases, domains, languages, and more. However, customization comes with a...
13 MIN READ
Jul 14, 2026
Lessons From the Leaderboard: What 5,000+ Kagglers Taught Us About Improving AI Reasoning
The NVIDIA Nemotron Model Reasoning Challenge invited the Kaggle community to explore a focused question: What techniques can improve reasoning accuracy when...
11 MIN READ
Jul 14, 2026
How to Run an Autoresearch Workflow with RL Agent Skills and NVIDIA NeMo
Coding AI agents are becoming practical operators for long-running machine learning (ML) workflows. They can inspect repositories, set up runtimes, resolve...
15 MIN READ
Jul 10, 2026
Accelerating End-to-End Co-Folding Performance with NVIDIA BioNeMo Agent Toolkit
Biomolecular structure prediction and co-folding with models like OpenFold3 are now mainstream, large-scale workloads powering drug discovery and protein...
9 MIN READ
Jul 09, 2026
Synthetic Data Generation for Financial AI Research with NVIDIA NeMo
Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings...
13 MIN READ
Jul 08, 2026
Create a LangChain Deep Agents Harness Profile for NVIDIA Nemotron 3 Ultra to Improve Performance
Agentic systems often face a trade-off between accuracy and cost. The highest-performing proprietary frontier models and harnesses provide top accuracy but are...
11 MIN READ
Jul 07, 2026
Building an Analysis AI Agent for Industrial Alarm Management with NVIDIA Nemotron
Industrial machinery generates more alarms than technicians can triage. For each important alarm requiring follow-up, the technician pulls historical context,...
11 MIN READ
Jul 01, 2026
Mastering Agentic Techniques: AI Agent Reinforcement Learning
Reinforcement learning (RL) is central to aligning language models, from reinforcement learning with human feedback (RLHF) within AI assistants to newer...
13 MIN READ
Jun 26, 2026
Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer
As context windows grow longer, moving large model weights efficiently becomes critical to performance. A common way to address this is quantization, an...
16 MIN READ
Jun 23, 2026
Build an AI Scientist for Life Science Discovery with NVIDIA BioNeMo Agent Toolkit
AI scientists are emerging as a new interface for scientific computing. These agents can read papers, write code, generate hypotheses, call APIs, inspect...
9 MIN READ