When Jensen Huang strides onto the stage of a packed hockey arena to kick off Nvidia's annual developer conference on Monday, he is likely to ​reveal products and partnerships geared toward keeping ...

Nvidia has ridden the AI revolution to new heights, helping it become the world's most valuable publicly traded company, with ...

Nvidia Corporation’s record $68.1B quarter and AI data center dominance signal strong upside. Click for this updated look at ...

Abstract: Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models that understanding their performance can provide insight in designing tomorrow's manycore processors, ...

However, beneath these headline figures lies a captivating and surprising trend: Nvidia’s six-year-old Ampere (A100) chips ...

NVIDIA's new CUDA Tile IR backend for OpenAI Triton enables Python developers to access Tensor Core performance without CUDA expertise. Requires Blackwell GPUs. NVIDIA has released Triton-to-TileIR, a ...

Abstract: This article consists of a collection of slides from the author's conference presentation on NVIDIA's CUDA programming model (parallel computing platform and application programming ...

Nvidia earlier this month unveiled CUDA Tile, a programming model designed to make it easier to write and manage programs for GPUs across large datasets, part of what the chip giant claimed was its ...

AMD closed the performance gap with Nvidia's Blackwell accelerators with the launch of the MI355X this spring. Now the company just needs to overcome Nvidia's CUDA software advantage and make that ...

Nvidia's DGX Quantum system can help developers rapidly advance quantum programming. IBM's Qiskit has become the leading software platform for quantum programming. Microsoft is making rapid progress ...