Introduction A Tensor Processing Unit (TPU) is a specialized hardware accelerator developed by Google to enhance machine learning performance, ...

The majority of the spending will target technical infrastructure, including servers and data centers, CFO Anat Ashkenazi ...

OpenAI is finalizing the design for its first custom AI training chip and is currently in the tape out phase, the final ...

Nvidia dominates the AI hardware market, but Google’s advanced TPU technology and collaboration ... were able to build this system - the system architecture that was optimized for AI.

The U.S. Department of Justice has accused former Google engineer Linwei Ding of leaking trade secrets to Chinese firms in an indictment.

"The trade secrets contain detailed information about the architecture and functionality of TPU chips and systems ... The trade secrets also pertain to Google's custom designed SmartNIC and ...

Pichai touted gains in data center efficiency through Google’s deployment of in-house TPU chips and AI Hypercomputer architecture Tuesday. “We develop every component of our technology stack ...

According to CEO Naveen Verma, EnCharge's inference chip delivers 150 TOPS of AI compute at 8-bit precision on just one watt ...

Semiconductor Bull 3X faces mounting risks in the AI GPU market. Learn why SOXL’s inefficiency and leveraged nature make it a ...

Trade secrets about the architecture and functionality of Google’s Tensor Processing Unit (TPU) chips and systems and Google’s Graphics Processing Unit (GPU) systems, the software that allows ...

Developed by Google, TensorFlow is a software framework that’s widely used for training and inference of neural networks.