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24 October 2024

Hardware Acceleration for AI (GPU/TPU) (Glossary)

Artificial intelligence Automation Big data and smart data Digital transformation Artificial intelligence glossary

Hardware acceleration for AI (GPU/TPU) plays a key role in the fields of artificial intelligence, big data, smart data and digital transformation. This involves the use of special computer chips - so-called GPUs (graphics processors) and TPUs (tensor processors) - to make AI applications much faster and more efficient than with conventional processors.

Normal computer processors (CPUs) often reach their limits when processing large amounts of data or training artificial intelligence. GPUs and TPUs are specialised in performing many computing tasks simultaneously. This speeds up the training and use of AI programmes enormously.

A simple example: when recognising faces in photos, billions of pixels can be analysed. While a CPU could take hours to do this, a GPU or TPU can often do it in minutes or even seconds.

This makes hardware acceleration for AI (GPU/TPU) a decisive factor when it comes to getting complex AI processes up and running quickly - for example, when analysing large amounts of data in real time, in medicine or for intelligent voice assistants.

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Sanjay Sauldie

Sanjay Sauldie is a digital strategist, speaker and developer of the transruption toolkit, which companies can use to make their digital transformation measurable, human and sustainable. With kiROI - the AI-based approach to value creation in the digital age - he helps self-employed people and companies to integrate artificial intelligence into their processes in a practical way. With his outstanding marketing strategy iROI, he has already led countless companies to greater visibility and thus more profits. He combines digital innovation with disruptive thinking models for a sustainable business strategy. He studied mathematics and computer science at the University of Cologne, completed a Master of Science in Digital Disruption at the University of Salford (UK) and a Design Thinking programme at MIT/EMERITUS Singapore. As a multiple award-winning expert - including the Golden Web Award and the Innovation Award of the Initiative Mittelstand - he advises SMEs and corporations. His motto: "Digitalisation is not an end in itself - it must serve people."

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