Streaming Tokens and Tools: Multi-Turn Agentic Harness Support in NVIDIA Dynamo
An agentic exchange must preserve a structured interaction: assistant turns interleave reasoning with one or more tool calls, and subsequent user turns return...
Optimize Supply Chain Decision Systems Using NVIDIA cuOpt Agent Skills
Modern supply chains operate under the constant pressures of fluctuating demand, volatile costs, constrained capacity, and interdependent decision-making....
Build AI-Powered Games with NVIDIA DLSS 4.5, RTX, and Unreal Engine 5
Today, game developers can begin integrating NVIDIA DLSS 4.5 with Dynamic Multi Frame Generation, Multi Frame Generation 6X, and the second-generation...
How to Build, Run, and Scale High-Quality Creator Workflows in ComfyUI
Creative and visualization teams today produce more assets, in more formats, with leaner teams. Generative AI can accelerate that work – compressing tasks...
Automating GPU Kernel Translation with AI Agents: cuTile Python to cuTile.jl
NVIDIA CUDA Tile (cuTile) is a tile-based programming model that enables developers to write GPU kernels in terms of tile-level operations—loads, stores, and...
Scaling Biomolecular Modeling Using Context Parallelism in NVIDIA BioNeMo
For decades, computational biology has operated under a reductionist compromise. To fit complex biological systems into the limited memory of a single GPU,...
24/7 Simulation Loops: How Agentic AI Keeps Subsurface Engineering Moving
The subsurface industry is at a critical point in its digital evolution. For decades, unlocking reservoir potential has relied on experts performing essential...
Federated Learning Without the Refactoring Overhead Using NVIDIA FLARE
Federated learning (FL) is no longer a research curiosity—it’s a practical response to a hard constraint: the most valuable data is often the least movable....
Winning a Kaggle Competition with Generative AI–Assisted Coding
In March 2026, three LLM agents generated over 600,000 lines of code, ran 850 experiments, and helped secure a first-place finish in a Kaggle playground...
Simplify Sparse Deep Learning with Universal Sparse Tensor in nvmath-python
In a previous post, we introduced the Universal Sparse Tensor (UST), enabling developers to decouple a tensor’s sparsity from its memory layout for greater...
Scaling the AI-Ready Data Center with NVIDIA RTX PRO 4500 Blackwell Server Edition and NVIDIA vGPU 20
AI integration is redefining mainstream enterprise applications, from productivity software like Microsoft Office to more complex design and engineering tools....
Maximizing Memory Efficiency to Run Bigger Models on NVIDIA Jetson
The boom in open source generative AI models is pushing beyond data centers into machines operating in the physical world. Developers are eager to deploy these...
Full-Stack Optimizations for Agentic Inference with NVIDIA Dynamo
Coding agents are starting to write production code at scale. Stripe’s agents generate 1,300+ PRs per week. Ramp attributes 30% of merged PRs to agents....
Build a More Secure, Always-On Local AI Agent with OpenClaw and NVIDIA NemoClaw
Agents are evolving from question-and-answer systems into long-running autonomous assistants that read files, call APIs, and drive multi-step workflows....
Building Custom Atomistic Simulation Workflows for Chemistry and Materials Science with NVIDIA ALCHEMI Toolkit
For decades, computational chemistry has faced a tug-of-war between accuracy and speed. Ab initio methods like density functional theory (DFT) provide high...
How to Accelerate Protein Structure Prediction at Proteome-Scale
Proteins rarely function in isolation as individual monomers. Most biological processes are governed by proteins interacting with other proteins, forming...
