HPC / Scientific Computing

Oct 22, 2026

How to Read Data into GPU Memory in Python with NVIDIA GPUDirect Storage

GPU applications are processing ever-growing datasets with increasingly powerful accelerators. According to the 2025 Stanford AI Index, compute for notable AI...

12 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

Oct 07, 2026

Scaling Decision Optimization to 100 Million Variables and Beyond with mPDLP in NVIDIA cuOpt

Supply chain problems are expanding across more SKUs, lanes, and constraints than ever before, while energy grids are balancing more distributed sources in...

13 MIN READ

Observatory dome beneath curved star trails in the night sky.

Oct 07, 2026

Faster Scientific Image Analysis with NVIDIA cuPhoton

Observatories and telescopes, lasers and X-ray light sources, and other high-throughput instruments generate image data faster than CPU-bound pipelines can...

18 MIN READ

Colorful DNA double helix against a black background, illustrating biological foundation models.

Sep 24, 2026

Efficient MoE Training for Biological Foundation Models

As language models grow, scaling dense architectures becomes increasingly expensive. In a dense transformer, every token passes through every layer, so adding...

7 MIN READ

Sep 10, 2026

High-Throughput Structure Prediction with BioNeMo Inference Runtime

Biomolecular structure prediction is now often run at proteome scale, where the goal is to move an entire worklist through the pipeline efficiently. NVIDIA...

11 MIN READ

Sep 03, 2026

How to Carry User Identity Across Federated Kubernetes and AI Platforms

Modern AI platforms are no longer a single application behind one login screen. A user may start in a central portal, open a governed dataset, launch a...

13 MIN READ

Aug 31, 2026

Run NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science

Agentic AI is changing how research is done. AI scientists can read papers, propose hypotheses, call models, and determine which experiments to prioritize...

12 MIN READ

Aug 24, 2026

Giga-Scale AI and the Ethernet Evolution: How Spectrum-X Ethernet Rewrites the Rules

The massive growth of generative AI has fundamentally altered data center design. As distributed model training scales to span hundreds of thousands of GPUs,...

13 MIN READ

Aug 18, 2026

How AI Coding Agents Can Unlock Materials Simulation with NVIDIA ALCHEMI Toolkit

Atomistic simulation requires three things: knowledge of the science, compute-efficient implementation of simulations, and accessible interfaces to the...

13 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 21, 2026

NVIDIA Vera CPU: Olympus Cores Built for Maximum Single-Thread Performance in Agentic AI

Agentic AI shifts more of the critical execution path onto the CPU. Agents operate in sandboxes to execute code, invoke tools, retrieve context, interact with...

13 MIN READ

Jul 13, 2026

NVIDIA Ising Decoding Cuts Color Code Logical Error Rates by Over 300x

Useful quantum computers will require fault tolerant logical operations. Researchers are actively exploring many different quantum error correction (QEC) codes...

6 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

A Practical Guide to GPU-Initiated Communication for Molecular Dynamics at Scale

Molecular dynamics (MD) simulations are among the most demanding workloads in computational science. Using them, researchers can observe atomic behavior in...

21 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