Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] .

A TPU is noted for high throughput and parallelism normally associated with GPUs but taken to extremes in its designs. Typical TPU chips contain one or more TensorCores. Each employs matrix-multiply units (MXUs), a vector unit and a scalar unit.

Oct 30, 2024 · CPUs, GPUs, and TPUs are all processors that perform compute tasks. CPUs are general-purpose chips, GPUs are specialized for accelerated compute tasks like graphic rendering and AI workloads, and TPUs are Google's custom ASICs designed specifically for AI-based compute tasks.

May 12, 2017 · With the TPU, we can easily estimate exactly how much time is required to run a neural network and make a prediction. This allows us to operate at near-peak chip throughput while maintaining a...

Apr 10, 2025 · The chips, further detailed at The Next Platform, are expected to reach general availability later this year. In order to build these pods, each TPU is equipped with a specialized inter-chip interconnect (ICI) that Google says is good for 1.2 terabits per second of bidirectional per-link bandwidth, a 1.5x uplift over Trillium.

Apr 9, 2025 · Ironwood TPU. The Ironwood TPU, as the new chip is called, arrives at an economic inflection point in AI. The industry clearly expects AI moving forward to be less about science projects and more ...

Apr 9, 2025 · The exact architecture of a TPU chip depends on the TPU version that you use. Each TPU version also supports different slice sizes and configurations. For more information about the system...

Apr 9, 2025 · In fact, Ironwood is nearly 30x more power efficient than the company’s first cloud TPU from 2018. Ironwood offers 192 GB per chip, 6x that of Trillium, designed to enable processing of larger models and datasets, reducing data transfers and improving performance. Improved HBM bandwidth, reaching 7.2 TBps per chip, 4.5x of Trillium’s.

5 days ago · Cloud TPU is a web service that makes TPUs available as scalable computing resources on Google Cloud. TPUs train your models more efficiently using hardware designed for performing large matrix...

Oct 4, 2019 · A tensor processing unit (TPU)—sometimes referred to as a TensorFlow processing unit—is a special-purpose accelerator for machine learning. It is processing IC designed by Google to handled neural network processing using TensorFlow.