Best practice

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

Oct 08, 2026

Building Reliable Data Analytics Agents: Lessons from the KDD Cup

The NVIDIA KGMON team placed second in the KDD Cup 2026 Data Agents competition with a system built around a simple idea of making an agent's harness smaller,...

11 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

Oct 01, 2026

Build Applications on NVIDIA BlueField Faster with NVIDIA DOCA Agent Skills

AI agents are becoming a standard part of development workflows, but general-purpose agents weren't built with specialized infrastructure software such as...

9 MIN READ

Sep 15, 2026

Scaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE

Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the...

10 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

Aug 24, 2026

Maximizing AI Factory Performance per Watt with NVIDIA DSX MaxLPS

AI factories are power-constrained industrial systems. The question is no longer how many GPUs fit in a data center, but how much AI output each available...

13 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 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

Aug 12, 2026

How to Choose Full-Stack Observability for NVIDIA AI Factories

AI infrastructure spans multiple layers, from compute and networking to storage, orchestration, and applications. When performance degrades, identifying the...

9 MIN READ

Jul 30, 2026

NVIDIA Exemplar Cloud: Lessons for Unlocking Full Performance on AI Infrastructure

Two AI computing clusters built from identical NVIDIA H100, GB200 NVL72, or GB300 NVL72 systems can deliver materially different training throughput. We...

12 MIN READ

Jul 27, 2026

NVIDIA Ising Enables Fully Automated Quantum Computer Calibration with Enhanced In-Context Learning

NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they...

4 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

Debugging Ray Tracing Applications Using NVIDIA OptiX Toolkit

NVIDIA OptiX ray tracing engine is an application framework for achieving optimal ray tracing performance on the GPU. Applications using OptiX can fail in ways...

9 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 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