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

With demand for graphics processing unit (GPU) compute capacity outstripping infrastructure planning timelines, GPU as a service (GPUaaS) has ...

ASRock Industrial has announced a strategic partnership with Axelera AI to develop AI inference solutions for edge computing, ...

Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google's proven ...

The world's largest company looks like a bargain right now.

In a previous article, we explored how BBVA is scaling its Machine Learning capabilities with a new architecture based on AWS ...

This company is about to tackle another valuable AI market.

Samsung SDS launches Korea's first cloud service on homegrown FuriosaAI chips, targeting cheaper, lower-power AI inference.

It began with video games, a paintball experiment and a bold bet that few understood. Today, Nvidia has become a company every tech giant depends on to build the future of artificial intelligence.

Samsung's 4nm Gaia AI accelerator targets budget PCs with on-device AI power. Prototypes already shipped to HP and Lenovo.

AMD’s resurgence over the past decade came from doing what many thought was improbable – rebuilding its processor franchise, ...

India is gearing up to make a significant breakthrough in high-end computing by developing its own Graphics Processing Unit (GPU) within the next three to five years, while also working on an ...