A custom-built chip for machine learning from Google. Introduced in 2016 and found only in Google datacenters, the Tensor Processing Unit (TPU) is optimized for matrix multiplications, which are ...

The Little-Known Chip Powering the Very Future of AI” was previously published in June 2025 with the title, “How Google’s TPU ...

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 ...

“The Tensor Processing Unit (TPU) market, valued at USD 2.70 billion in 2023, is projected to reach USD 31.60 billion by 2032, growing at a CAGR of 31.5% from 2024 to 2032.

Back in 2015, Google began putting its own custom machine learning accelerator in its data centers, claiming significant improvements over off the shelf gear. Since then, details on the Tensor ...

It's about what the Tensor Processing Unit (TPU) — the part Google added to the system-on-chip — can do. Here's what I mean. You may like ...

Google announced its next generation of its custom Tensor Processing Units (TPUs) machine learning chips at Google I/O today. These chips, which are designed specifically to speed up machine ...

Google's latest generation chipset, the Tensor G4, is a powerhouse when it comes to accelerating on-device artifical intelligence tasks. However, central processing unit (CPU) and GPU performance ...

A processing unit in an NVIDIA GPU that accelerates AI neural network processing and high-performance computing (HPC). There are typically from 300 to 600 Tensor cores in a GPU, and they compute ...

Back in 2015, Google began putting its own custom machine learning accelerator in its data centers, claiming significant improvements over off the shelf gear. Since then, details on the Tensor ...