UK Prime Minister Rishi Sunak is reportedly set to allocate up to £100 million of taxpayer money towards the procurement of high-powered artificial intelligence (AI) chips. The aim is to position the UK as a global leader in computing power, according to The Telegraph.
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Government officials in the UK have engaged in discussions with leading technology companies Nvidia Corp, Advanced Micro Devices Inc, and Intel Corp to acquire equipment for a national “AI Research Resource.” The initiative, which is being led by UK Research & Innovation, is said to be in the advanced stages of placing an order for up to 5,000 graphics processing units (GPUs) from Nvidia.
GPUs are essential components in the development of AI systems such as ChatGPT, an advanced language model. The latest version of ChatGPT, for instance, was trained using as many as 25,000 Nvidia chips. By investing in these high-powered AI chips, the UK government aims to accelerate research and development in the field of AI.
This strategic move by the UK government reflects a global race for computing power, with countries like the United States and China investing heavily in AI technologies. Sunak’s ambitions to establish the UK as a global leader in the AI space position the investment as a means to stay competitive on a global scale.
Overall, Sunak’s allocation of funds for AI chips demonstrates the government’s commitment to fostering innovation and technological advancement in the UK. By partnering with leading technology companies, the UK aims to position itself at the forefront of AI research and development, ultimately driving economic growth and competitiveness.
Sources:
– The Telegraph: [link]
Definitions:
– AI Research Resource: A national initiative aimed at providing resources, equipment, and funding for AI research and development.
– GPUs: Graphics Processing Units, specialized electronic circuits primarily used to accelerate the rendering of images and graphics, but also widely used in AI applications.
– ChatGPT: An advanced language model developed by OpenAI, trained on a vast amount of text data to generate coherent and contextually relevant responses.
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