The UK Treasury has set aside a budget of £900 million to invest in the development of a supercomputer that would be powerful enough to chew through more than one billion billion simple calculations a second. A new exascale computer would fit the bill, for utilization by newly established advanced AI research bodies. It is speculated that one key goal is to establish a "BritGPT" system. The British government has been keeping tabs on recent breakthroughs in large language models, the most notable example being OpenAI's ChatGPT. Ambitions to match such efforts were revealed in a statement, with the emphasis: "to advance UK sovereign capability in foundation models, including large language models."

The current roster of United Kingdom-based supercomputers looks to be unfit for the task of training complex AI models. In light of being outpaced by drives in other countries to ramp up supercomputer budgets, the UK Government outlined its own future investments: "Because AI needs computing horsepower, I today commit around £900 million of funding, for an exascale supercomputer," said the chancellor, Jeremy Hunt. The government has declared that quantum technologies will receive an investment of £2.5 billion over the next decade. Proponents of the technology have declared that it will supercharge machine learning.

Developing supercomputers isn't for the faint of heart. Much less it is for those that are looking for fast development and deployment time-frames. And as such, even as the world's supercomputers are getting increasingly faster and exorbitantly expensive to develop and deploy, players who want to stay ahead have to think ahead as well. To this end, the US Department of Energy has awarded a total of $258M in research contracts to six of the US's foremost tech companies to accelerate the development of Exascale Supercomputer technologies (AMD, Cray, Hewlett Packard Enterprise, IBM, Intel, and NVIDIA.) These companies will be working over a three year contract period, and will have to support at least 40% of the project cost - to help develop the technologies needed to build an exascale computer for 2021. It isn't strange that the companies accepted the grant and jumped at the opportunity: 60% savings in research and development they'd have to do for themselves is nothing to scoff at.

Supercomputers birthed from the project are expected to be in the exaFLOPS scale of computing performance, which is around 50 times more processing power than the generation of supercomputers being installed now. Since traditional supercomputing knowledge and materials are known to falter at the objective level of exaFLOPS performance, the PathForward program - which looks to ensure achievement of such systems in a timely fashion to ensure US leadership in the field of supercomputing - will need to see spurred research and development, which the $258M grant is looking out to do.