Recent posts

Jun 24, 2026

Accelerating BEV Pooling on NVIDIA GPUs for Physical AI Applications

An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird's-eye-view (BEV) perception. BEV models project...
15 MIN READ
Jun 23, 2026

Maximize AI Factory Energy Efficiency Through Full-Stack Inference and Training Optimizations

Power can account for 40% of the operating expenses (OpEx) to run an AI factory. Each watt can be spent on overhead, data ingestion, training, or generating...
10 MIN READ
Jun 23, 2026

Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding

As AI systems move from single-turn interactions to coordinated multiagent workflows, low-latency inference becomes increasingly important. Autoregressive LLMs...
7 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
Jun 22, 2026

How Telcos Build Autonomous Networks with Agentic AI

Telecom operators are adopting AI across network operations, customer care, and back-office workflows, but most are still early in the journey to autonomy. In...
10 MIN READ
Jun 22, 2026

CCCL Runtime: A Modern C++ Runtime for CUDA

The NVIDIA CUDA Core Compute Libraries (CCCL) provides delightful and efficient abstractions for CUDA developers in C++ and Python. It features: Parallel...
12 MIN READ
Jun 22, 2026

Enable Real-Time AI for High-Speed Data Acquisition with DAQIRI

When AlphaFold2 revolutionized drug discovery in 2020, its success relied entirely on the roughly 170,000 protein structures collected by scientists since 1971...
10 MIN READ
Jun 22, 2026

Inside NVIDIA Halos for Robotics: A Full-Stack Functional Safety System for Physical AI

Physical AI—robots working autonomously alongside people in factories, warehouses, hospitals, and homes—is arriving faster than most expected. Traditional...
15 MIN READ
An image of a scientist using XR glasses.
Jun 16, 2026

Building AI Agents for AR Glasses and XR Devices with NVIDIA XR AI

Developers building for AR glasses and wearable devices face an infrastructure gap. The hardware is ready, but creating AI experiences requires integrating...
8 MIN READ
Jun 16, 2026

Build Your Own Transaction Foundation Model for Financial Intelligence

Every swipe, transfer, and payment on a modern financial network encodes a pattern of human behavior. Transaction data is one of the richest signals an...
11 MIN READ
Jun 16, 2026

Build On-Device AI Companions with the NVIDIA ACE Game Agent SDK and Unreal Engine 5 Plugins

NVIDIA RTX technologies are deeply integrated into Unreal Engine 5 through the NVIDIA RTX Branch of Unreal Engine and the NVIDIA DLSS Unreal Engine plugin....
8 MIN READ
Jun 16, 2026

How to Optimize Transformer-Based Models for Low-Precision Training

Transformer architectures are the backbone of many modern large language and generative AI models. As these models grow in size, training runs consume more GPU...
9 MIN READ
Jun 16, 2026

NVIDIA Blackwell Tops MLPerf Training 6.0 with Industry-Leading Scale and Performance

NVIDIA delivered a clean sweep in MLPerf Training v6.0, the latest edition of industry-standard AI training benchmarks developed by the MLCommons consortium....
11 MIN READ
Jun 15, 2026

Fine-Tuning Biological Foundation Models with LoRA Using NVIDIA BioNeMo Recipes

Foundation models are reshaping computational biology. Pretrained on massive corpora of protein or genomic sequences, models such as ESM2 (a protein language...
12 MIN READ
Jun 15, 2026

Boosting MoE Training Throughput with Advanced Fusion Kernels

Mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable...
9 MIN READ
Jun 15, 2026

Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models

Quick glossary for readers new to VLA/WAM terminology VLA Vision-Language-Action model: a robot policy that starts from a pretrained VLM backbone and adapts it...
61 MIN READ