On Wall Street in 2026, investors continue to snap up shares of CPU and GPU stocks, mainly because the explosive growth of ...

Overview: GPUs provide the flexibility and computing power needed to train large AI models, while TPUs optimize tensor-heavy ...

Server processor market share for AMD has surged from 8% to 46%, driven by a savvy hybrid AI strategy, ROCm software, and ...

For the past decade, the artificial intelligence landscape followed a remarkably simple recipe: if you wanted better AI, you built larger models, fed them more data, and added more GPUs. The formula ...

When the iPhone 18 Pro and iPhone Ultra launch this September, Apple will power them with the newest A-series chip. As in recent years, the next-generation processor will likely be split into two, ...

NVIDIA has released CUDA Toolkit 13.4 as a developer preview — and with it, the company has done something it has never done before: shipped an official, first-party CUDA development package that ...

Vera soll die Entwicklung neuer Chips beschleunigen, während das Agent Toolkit um PhysicsNeMo und neue CUDA-X-Bibliotheken ...

NVIDIA Vera Rubin platform targets post-training AI costs with a seven-chip codesign architecture delivering 22 TB/s of HBM4 ...

Technology is not always about getting more controlled, more digital and more logical. And a mad new music program that's ...

Most enterprise AI apps today simply wait for an LLM to respond. That changes when agents begin writing and running code.

For much of the generative AI boom, GPUs have dominated discussions around AI infrastructure as companies raced to build ...

VDURA boss: Your x86 clusters are obsolete, metadata is eating 20% of I/O, and every idle GPU second burns cash The supercomputing landscape is fracturing. What once was a relatively unified world of ...