H100

A cube assembled from smaller dark blocks, with glowing cyan, pink, yellow, and green sections against a black background.
Oct 12, 2026

ReplaySSM: Rethinking State Storage for Faster Hybrid-Model Decoding

Hybrid models interleave state-space model (SSM) layers with a few attention layers. NVIDIA Nemotron 3, Qwen3.5 through Qwen3.8, Kimi-K3, and GLM-5.3-Flash are...
14 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
Sep 23, 2026

How SWE-Serve Exposes the Gap Between Local Tests and Live Serving

An AI coding agent’s patch can pass tests yet fail when the server loads a real model and handles requests. Evaluating changes to inference-serving software...
7 MIN READ
Sep 01, 2026

How to Size GPUs for AI Inference and TCO Without Overspending

The surge in AI adoption is transforming everything from chatbots to content generation. Still, a common pain point remains: How can organizations confidently...
13 MIN READ
Aug 18, 2026

Run Massive-Scale UMAP in Minutes Using Multiple GPUs—Without Losing Accuracy

Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction. Applications...
11 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
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Jun 12, 2026

Run DiffusionGemma on NVIDIA for Developer-Ready, High-Throughput Text Generation

Developers building real-time AI—such as chat assistants, copilots, and agentic workflows—are often constrained by token-by-token generation speed. This limits...
4 MIN READ
May 22, 2026

Synthesize Realistic 3D Medical Images at Scale to Ship Pre‑Trained Models

High‑quality 3D medical imaging data is the foundation of modern radiology AI, but access to it is often constrained by data scarcity, privacy restrictions,...
10 MIN READ
May 21, 2026

Building Token‑Metered AI Services on Telco AI Factories

Telcos around the world are building sovereign AI factories based on the NVIDIA Cloud Partner (NCP) reference architecture, giving governments, enterprises,...
10 MIN READ
Mar 09, 2026

Removing the Guesswork from Disaggregated Serving

Deploying and optimizing large language models (LLMs) for high-performance, cost-effective serving can be an overwhelming engineering problem. The ideal...
10 MIN READ
Feb 18, 2026

How NVIDIA Extreme Hardware-Software Co-Design Delivered a Large Inference Boost for Sarvam AI’s Sovereign Models

As global AI adoption accelerates, developers face a growing challenge: delivering large language model (LLM) performance that meets real-world latency and...
15 MIN READ
Dec 12, 2025

How to Scale Fast Fourier Transforms to Exascale on Modern NVIDIA GPU Architectures

Fast Fourier Transforms (FFTs) are widely used across scientific computing, from molecular dynamics and signal processing to computational fluid dynamics...
8 MIN READ
Dec 11, 2025

NVIDIA Blackwell Enables 3x Faster Training and Nearly 2x Training Performance Per Dollar than Previous-Gen Architecture

AI innovation continues to be driven by three scaling laws: pre-training, post-training, and test-time scaling. Training is foundational to building smarter...
7 MIN READ
Oct 30, 2025

Streamline AI Infrastructure with NVIDIA Run:ai on Microsoft Azure

Modern AI workloads, ranging from large-scale training to real-time inference, demand dynamic access to powerful GPUs. However, Kubernetes environments have...
9 MIN READ
Oct 20, 2025

Enabling Scalable AI-Driven Molecular Dynamics Simulations

Molecular dynamics (MD) simulations are a powerful tool in computational chemistry and materials science, and they’re essential for studying chemical...
14 MIN READ
Oct 20, 2025

Scaling Large MoE Models with Wide Expert Parallelism on NVL72 Rack Scale Systems

Modern AI workloads have moved well beyond single-GPU inference serving. Model parallelism, which efficiently splits computation across many GPUs, is now the...
11 MIN READ