Wayve partners with Microsoft for deep learning

London based autonomous delivery company Wayve has partnered with Microsoft to work on AI ‘deep learning’ for its delivery robots to better travel around UK cities.

Microsoft was a key player in its $200m Series B investment round and Wayve has been using the Azure computer system since 2020 when its computing requirements grew greater than it could economically run out of its offices.

Alex Kendall, CEO of Wayve, said: “Joining forces with Microsoft to design the supercomputing infrastructure needed to accelerate deep learning for autonomous mobility is an opportunity that we are honoured to lead.

Deep learning systems thrive on data, and we’ve put an immense amount of effort into understanding what it takes to get these systems on the road. We are excited by the opportunities that this collaboration will create as we push deep learning to new levels of scale.”

The supercomputer deep learning has enabled Wayve to expand its self-driving delivery services into five new cities around the UK using the same learning skills it had developed operating in London without any city-specific adaptations.

Wayve is about to partner with Asda and Ocado for last mile delivery. The robotics company is working with DPD to add data to its learning process too from DPD’s London van fleet.

Having previously outgrown its office systems, Wayve has now outgrown the capabilities of its commercial cloud and edge computing systems, which is why the firm is now working directly with Microsoft for bespoke supercomputing access.

Mark Russinovich, CTO of Azure at Microsoft, commented, “Supercomputing capabilities are key to processing the immense amount of data required for the simulation, validation, and training of AI models that enable safe and secure autonomous driving.

Wayve is combining its expertise in deep learning-based autonomous vehicle systems with Microsoft Azure computing power to bring self-driving transportation experiences to more people and organisations faster.”

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