Mark Collier briefed me on two updates under embargo at KubeCon Europe 2026 last month: Helion, which opens up GPU kernel ...

AMD adds Day 0 support for Google Gemma 4 across Radeon, Instinct, and Ryzen AI, enabling full-stack AI deployment.

Abstract: We present FieldGPU, a CUDA-accelerated reimplementation of the Field II ultrasound simulation framework, accessible as a Python package. FieldGPU leverages GPU parallelism to improve ...

Discusses New Business Strategy and Transition to Complete Chip Sales March 29, 2026 8:00 PM EDT Thank you very much. We would like to start the Arm business briefing. I would like to introduce ...

The Arkansas Integrative Metabolic Research Center will host Dr. Prateek Verma, manager of the AIMRC Data Science Core, Wednesday, April 1, to highlight the unique complex-analysis and ...

This is a sponsored article brought to you by PNY Technologies. In today’s data-driven world, data scientists face mounting challenges in preparing, scaling, and processing massive datasets.

At this bigger-than-ever GTC, Huang made it clear that Nvidia is gunning to command the levers of the entire AI factory ...

In this tutorial, we explore how to use NVIDIA Warp to build high-performance GPU and CPU simulations directly from Python. We begin by setting up a Colab-compatible environment and initializing Warp ...

Windows 11 offers a feature called hardware-accelerated GPU scheduling, which distributes graphics processes more efficiently, thus reducing latency. As a result, the system runs more smoothly, ...

MAGA (Magnetic Analysis with GPU Acceleration) is a Python library for GPU-accelerated magnetic field calculations using the Biot-Savart law. It supports arbitrary coil geometries via Python or OpenCL ...

Discover how modern chip designs are revolutionizing the lithographic process, driving the need for innovative solutions to meet the industry’s demand for shorter design cycles. This whitepaper ...

NVIDIA's new cuda.compute library topped GPU MODE benchmarks, delivering CUDA C++ performance through pure Python with 2-4x speedups over custom kernels. NVIDIA's CCCL team just demonstrated that ...