Data Science

Aug 25, 2026

Restore LLM Inference Capacity in Seconds with Shadow Engine Recovery in NVIDIA Dynamo

When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels,...

13 MIN READ

Aug 25, 2026

CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access

For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain,...

12 MIN READ

Aug 21, 2026

GPU-Accelerated Clustering for Financial Instruments at Scale

Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters, soft factor...

13 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 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 30, 2026

Run High-Performance Core Math at Scale with NVIDIA nvmath-python

NVIDIA nvmath-python is a library designed to bridge the gap between the Python scientific community and NVIDIA CUDA-X math libraries. It gives Python users...

15 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 09, 2026

Synthetic Data Generation for Financial AI Research with NVIDIA NeMo

Fine-tuning LLMs for financial natural language processing (NLP) is constrained by limited, imbalanced data. Real-world financial news overrepresents earnings...

13 MIN READ

Jul 08, 2026

Running Low-Latency Analytical Workloads with GPU-Accelerated Presto on NVIDIA GB200 NVL72

Presto is an open source, distributed SQL engine for running fast, interactive queries on very large datasets. On NVIDIA GPUs, Presto delivers peak performance...

8 MIN READ

Jun 30, 2026

Designing GPU-Accelerated Query Engines with NVIDIA GQE

GPU-accelerated query engines are often constrained by memory and I/O bandwidth. NVIDIA hardware advances—including high bandwidth memory (HBM), NVIDIA...

13 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 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

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 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 09, 2026

Delivering Lifecycle Control for AI Infrastructure at Scale with NVIDIA DGX Spark Enterprise Manageability

As AI infrastructure scales, enterprise expectations for operational maturity are increasing. Organizations expect these systems to be provisionable,...

8 MIN READ

Jun 09, 2026

Model Quantization: Turn FP8 Checkpoints into High-Performance Inference Engines with NVIDIA TensorRT

This post is the third of a three-part series. See also Model Quantization: Concepts, Methods, and Why It Matters and Model Quantization: Post-Training...

10 MIN READ