When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. When Google unveiled its Tensor Processing Unit (TPU) during this year's Google I/O ...

Integrated with LibTPU, the new monitoring library provides detailed telemetry, performance metrics, and debugging tools to help enterprises optimize AI workloads on Google Cloud TPUs.

Figure 1 The Tensor Unit is optimized for 64-bit RISC-V cores. Source: Semidynamics. The Tensor Unit, built on top of the company’s Vector Processing Unit, leverages the existing vector registers to ...

Google today introduced its seventh-generation Tensor Processing Unit, “Ironwood,” which the company said is it most performant and scalable custom AI accelerator and the first designed specifically ...

Google announced the sixth generation of its Tensor Processing Unit (TPU) for data centers, codenamed Trillium, at its I/O 2024 Developer Conference today. While a specific launch date wasn’t ...

Google recently announced at its I/O event its sixth tensor processing unit (TPU) called Trillium, and according to the company the new processor is designed for powerful next-generation AI models.

The lawsuit, filed by Massachusetts-based Singular Computing, sought $1.67 billion in damages, alleging Google used their technology for its Tensor Processing Units (TPUs).

The company has now revealed in a technical paper that it used Google's custom Tensor Processing Unit (TPU) GPUs to train its AI models instead of Nvidia hardware.

Semidynamics Tensor Unit The overall ensemble with the Atrevido-423 core, the Gazzillion Unit, the Vector Unit and the Tensor Unit Optimised for its 64-bit fully customisable RISC-V cores The ...

Former (and future?)OpenAI CEO Sam Altman has been pitching custom, Nvidia-rivaling AI Tensor Processing Unit (TPU) chips, according to a report in The New York Times.He’s reportedly also sought ...