* The BM1680, a customized tensor computing ASIC (Application Specific Integrated Circuit), which is optimized for multiple types of inference and training functions for deep learning networks * The ...

AI is hungry, hyperscale AI ravenous. Both can devour processing, electricity, algorithms, and programming schedules. As AI models rapidly get larger and more complex (an estimated 10x a year), a ...

Investing.com -- Google could save billions of dollars annually on its custom AI chips, known as Tensor Processing Units (TPUs), thanks to rising competition among application-specific integrated ...

In the era of artificial intelligence (AI), application-specific integrated circuits (ASICs) are rising, with U.S. Broadcom leading the market. Traditional Japanese ASIC corporations and emerging ...

Forget the CPU, GPU, and FPGA, Google says its Tensor Processing Unit, or TPU, advances machine learning capability by a factor of three generations. “TPUs deliver an order of magnitude higher ...

Google has begun to build its own custom application-specific integrated circuit (ASIC) chip called tensor processing units (TPUs), Google chief executive Sundar Pichai said today at the Google I/O ...

Google's expanding Tensor Processing Unit (TPU) strategy is emerging as a serious challenge to Nvidia's long-running dominance in AI accelerators, particularly after a report from The Information ...

MSFT Bing's FPGA system isn't in this league. These are ASICs, more like GPUs which are all ASIC technology as well. They do share the fact that there are many, many identical units that operate on a ...