"The Met Office's Microsoft cloud supercomputing capability was launched a year ago, and provides around 1.8 million processing cores, with peak performance of around 60 quadrillion calculations per second. Reported availability for the system in the past year has been 100% for critical workloads, with 99.77% for the supercomputing element."
"Cloud latency is comparable to what it was between the Met Office headquarters and where its previous supercomputers were located. Latency is only one factor taken into account when deciding whether to go to the cloud. Others include cost, reliability, flexibility and the ability to take advantage of innovation, which might have been limited with a multi-tonne, multimillion-pound supercomputer."
"The Met Office's work is still largely physics-driven numerical weather prediction and modelling. AI is therefore not the lens through which things are viewed, but one tool among many. AI is certainly happening faster and quicker, but we have to think more of AI as a catalyst and an accelerant for broader innovation."
The Met Office celebrated one year of cloud-based supercomputing services from Microsoft, which provides approximately 1.8 million processing cores with peak performance of 60 quadrillion calculations per second. The system achieved 100% availability for critical workloads and 99.77% for supercomputing operations. Cloud latency proved comparable to distances between the Met Office headquarters and previous on-site supercomputers. Beyond latency, cloud delivery offers advantages including cost efficiency, reliability, flexibility, and access to continuous innovation. The Met Office's work remains primarily physics-driven numerical weather prediction and modeling. AI functions as one tool among many rather than the primary lens for scientific activities, serving as a catalyst for broader innovation rather than the core focus.
Read at ComputerWeekly.com
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