Google today is unveiling its second-generation Tensor Processor Unit, a cloud computing hardware and software system that underpins some of the company’s most ambitious and far-reaching ...

In this podcast, the Radio Free HPC team looks at the announcements coming from Google IO conference. Of particular interest was their second-generation TensorFlow Processing Unit (TPU2). We've also ...

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 ...

I had great fun writing neural network software in the 90s, and I have been anxious to try creating some using TensorFlow. Google’s machine intelligence framework is the new hotness right now… ...

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 ...

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 ...

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 ...

Barcelona, Spain – June 25, 2024 -- Semidynamics, the European RISC-V custom core AI specialist, has announced Tensor Unit efficiency data for its ‘All-In-One’ AI IP running a LlaMA-2 7B-parameter ...