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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] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...
Groq's initial name for their ASIC was the Tensor Streaming Processor (TSP), but later rebranded the TSP as the Language Processing Unit (LPU). [2] [21] [22] The LPU features a functionally sliced microarchitecture, where memory units are interleaved with vector and matrix computation units.
Accelerators are used in cloud computing servers, including tensor processing units (TPU) in Google Cloud Platform [10] and Trainium and Inferentia chips in Amazon Web Services. [11] A number of vendor-specific terms exist for devices in this category, and it is an emerging technology without a dominant design.
The company has assembled a chip team of about 20 people, led by top engineers who have previously built Tensor Processing Units (TPUs) at Google, including Thomas Norrie and Richard Ho.
Alphabet-owned Google will design the chips - called tensor processing units - in-house if it goes ahead with the plan, potentially saving the tech giant billions of dollars in costs annually, the ...
Together with the software that is closely tied to Google's tensor processing units (TPUs), the chips have allowed the company to take a significant share of the market.
Tensor Processing Unit, a custom ASIC built by Google, tailored for their TensorFlow platform; DEC Text Processing Utility, a language developed by Digital Equipment Corporation for developing text editors; Thermoplastic polyurethane, a class of polyurethane plastics; Transcranial pulsed ultrasound, a brain-stimulation technique
In May 2016, Google announced its Tensor processing unit (TPU), an application-specific integrated circuit (ASIC, a hardware chip) built specifically for machine learning and tailored for TensorFlow. A TPU is a programmable AI accelerator designed to provide high throughput of low-precision arithmetic (e.g., 8-bit ), and oriented toward using ...