In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU entirely, but by surpassing it in relevance, performance, and versatility ...

In our view, the Intel–Nvidia pact further accentuates Nvidia Corp.’s dominant market position and represents a milestone in ...

AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

The first preview of Visual Studio 2026, with deeper GitHub Copilot AI integration, is available through Microsoft’s new ...

CIQ, the founding support and services partner of Rocky Linux and a leader in high-performance software infrastructure, announced a partnership with NVIDIA to integrate the NVIDIA CUDA Toolkit within ...

NVIDIA has announced partnerships with several operating system providers and package managers to redistribute its CUDA parallel computing platform, aiming to simplify software deployment for ...

Overseas tech giants are making moves, with OpenAI, Oracle, and SoftBank advancing the "Stargate" project, which plans to ...

This project implements a point cloud rasterization pipeline that transforms 3D point clouds into 2D images using GPU acceleration. The application supports interactive navigation and real-time ...

This code accompanies the blog post Matrix Multiplication Faster Than Nvidia, Sometimes. It provides a CUDA kernel for single-precision matrix-matrix multiplication, with two notable features: use of ...

Abstract: This standard defines six service APIs and a framework required for digital human authoring and visualization services. This framework includes a system architecture and API interfaces.

Abstract: Programming based approaches to reasoning tasks have substantially expanded the types of questions models can answer about visual scenes. Yet on benchmark visual reasoning data, when models ...