CUDA-X

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 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 26, 2026

Advancing Semiconductor Innovation Across Materials Engineering and Manufacturing

As AI workloads increase, explosive compute demand is pushing the semiconductor industry to meet unprecedented performance targets. Even small delays can have...

7 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

Jan 05, 2026

Inside the NVIDIA Vera Rubin Platform: Six New Chips, One AI Supercomputer

Update March 16, 2026: The NVIDIA Vera Rubin platform now has a seventh chip. Learn more about NVIDIA Groq 3 LPX: The Low-Latency Inference Accelerator for the...

63 MIN READ

Dec 15, 2025

NVIDIA CUDA-X Powers the New Sirius GPU Engine for DuckDB, Setting ClickBench Records

Sirius, an open-source GPU native SQL engine, achieved a new performance record on Clickbench—a widely used analytics benchmark. Developed by University of...

7 MIN READ

Dec 02, 2025

Accelerating Real-Time Financial Decisions with Quantitative Portfolio Optimization

Financial portfolio optimization is a difficult yet essential task that has been consistently challenged by a trade-off between computational speed and model...

15 MIN READ

Nov 13, 2025

Achieve CUTLASS C++ Performance with Python APIs Using CuTe DSL

CuTe, a core component of CUTLASS 3.x, provides a unified algebra for describing data layouts and thread mappings, and abstracts complex memory access patterns...

9 MIN READ

Oct 24, 2025

Unlocking Tensor Core Performance with Floating Point Emulation in cuBLAS

NVIDIA CUDA-X math libraries provide the fundamental numerical building blocks that enable developers to deploy accelerated applications across multiple...

11 MIN READ

Sep 25, 2025

How to GPU-Accelerate Model Training with CUDA-X Data Science

In previous posts on AI in manufacturing and operations, we covered the unique data challenges in the supply chain and how smart feature engineering can...

8 MIN READ

Sep 16, 2025

Autodesk Research Brings Warp Speed to Computational Fluid Dynamics on NVIDIA GH200

Computer-aided engineering (CAE) forms the backbone for modern product development across industries, from designing safer aircraft to optimizing renewable...

8 MIN READ

Sep 02, 2025

Improving GEMM Kernel Auto-Tuning Efficiency on NVIDIA GPUs with Heuristics and CUTLASS 4.2

Selecting the best possible General Matrix Multiplication (GEMM) kernel for a specific problem and hardware is a significant challenge. The performance of a...

8 MIN READ

Aug 06, 2025

What’s New and Important in CUDA Toolkit 13.0

The newest update to the CUDA Toolkit, version 13.0, features advancements to accelerate computing on the latest NVIDIA CPUs and GPUs. As a major release, it...

19 MIN READ

Jul 02, 2025

Advanced NVIDIA CUDA Kernel Optimization Techniques: Handwritten PTX

As accelerated computing continues to drive application performance in all areas of AI and scientific computing, there's a renewed interest in GPU optimization...

11 MIN READ

Jun 18, 2025

AI in Manufacturing and Operations at NVIDIA: Accelerating ML Models with NVIDIA CUDA-X Data Science

NVIDIA leverages data science and machine learning to optimize chip manufacturing and operations workflows—from wafer fabrication and circuit probing to...

8 MIN READ