Amazon’s new software could make switching AI chips easier. Nvidia’s earnings may face little immediate pressure, but its ...

Introduction: Three names, one questionCPU, GPU, TPU. These three terms, which always come up when talking about AI, are ...

Google has joined Amazon in attacking Nvidia’s stronghold with AI app developersSource: TechCrunch AIGoogle Follows Amazon in ...

Quantum computing (QC) is on the horizon, and it’s rapidly approaching for some applications like materials science, drug ...

TorchTPU, Google’s open-source PyTorch backend for Cloud TPUs, lets developers migrate existing AI models off Nvidia GPUs by changing one line of code. Released as Amazon launched TorchNeuron for ...

The RTX Spark machines may well be expensive, starting at $2599 for a more 'basic' config, and going well into the thousands ...

DeepSeek and Huawei open-sourced a six-module AI programming toolkit on September 30, targeting Nvidia's CUDA software moat. The package, anchored by TileLang, gives developers a single codebase that ...

NVIDIA on October 14, 2026, unveiled cuPotential, a new CUDA-X library that developers can use to build AI agents simulating ...

The libraries support chip simulation, inspection, testing and fab automation using GPU-accelerated tools and AI models.

AI startup Visko brought Orbis, its interactive, continuously streaming video world model, to production with TPUs in just 30 days.

AWS Trainium real-time video generation became achievable without NVIDIA hardware after AWS Neuron Science and Reactor published custom NKI kernel results September 25, 2026. Three targeted kernels ...

Nvidia’s new Arm-based laptop chip is an exciting new challenger, but exclusively for the high-end. ...