Can the UK achieve AI sovereignty?
Briefly

Can the UK achieve AI sovereignty?
"unveiled extra £1bn funding to accelerate the UK towards its goal of scaling its compute capacity by twenty-fold by 2030. Starmer was joined on stage by chief Jensen Huang, who hailed the UK's AI sector, but warned that the country lacked a critical component: "If you're in the world of AI, you do machine learning. You can't do machine learning without a machine.""
"the UK chancellor Rachel Reeves pledged £750m investment towards a new supercomputer to be based at the University of Edinburgh. The funding had previously been pulled last August. The new system will exceed the capabilities of the university's current supercomputer system, ARCHER2. Researchers will be using it to carry out large-scale complex modeling and to test scientific theories. The hope is that this will lead to innovative breakthroughs that benefit medicine, climate change and national security."
UK government and industry are investing heavily in AI compute capacity to become an AI maker and scale compute twenty-fold by 2030. Prime Minister Keir Starmer announced an extra £1bn to accelerate that goal. Chancellor Rachel Reeves pledged £750m toward a new supercomputer at the University of Edinburgh to exceed ARCHER2 capabilities for large-scale modelling and scientific testing aimed at breakthroughs in medicine, climate and national security. Major companies pledged large investments: Microsoft committed £22bn including a new AI supercomputer with over 23,000 Nvidia GPUs, while Nvidia plans £11bn for 120,000 chips in the UK by 2026. The UK ranks third globally in AI behind the US and China.
Read at IT Pro
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