TornadoVM, an open-source plug-in for OpenJDK and GraalVM that compiles and offloads Java code to accelerators such as GPUs, released version 2.0 last month, adding support for new data types and ...

With 120 and 125 teraFLOPS of BF16 grunt respectively, the Spark roughly matches AMD's Radeon Pro W7900, while achieving a ...

Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its tensor processing units (TPUs), aiming to challenge the software dominance of ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Nvidia Corporation has launched its largest CUDA update in two decades, signaling a strategic response to open-source competition from Triton. The NVDA update introduces a tile-based programming model ...

TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...

Nvidia (NVDA) has launched CUDA 13.1 and CUDA Tile, which the Jensen Huang-led company said is the most substantial advancement to the platform since its release about 20 years ago. "This exciting ...

Calling it the largest advancement since the NVIDIA CUDA platform was inroduced in 2006, NVIDIA has launched CUDA 13.1 with CUDA Tile, which the company said introduces a virtual instruction set for ...

Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

Amazon Web Services, which has been building its own AI training chips for years now, just introduced a new version known as Trainium3 that comes with some impressive specs. The cloud provider, which ...

Nvidia’s Blackwell systems sales are “off the charts” according to CEO Jensen Huang, but analysts see fast growth for custom AI chips, known as ASICs. These smaller, cheaper, more narrowly focused AI ...