When GPUs sing together: Solving the AI data centre power spike – We Talk IoT #87

AI data centres have a problem that no one talks about enough. When GPUs synchronise and fire together, power demand spikes exponentially, in milliseconds. Legacy backup systems were never built for this. Oversizing the grid is expensive. Throttling GPU utilisation wastes the very infrastructure operators are paying for.

Ramesh Narasimhan, EVP, CCO and CFO at Nyobolt, explains how the Cambridge deep-tech startup evolved from a university materials lab into a full solutions provider. And how its Dynamic Response System addresses the power spike problem at the rack level, in real time.

Ramesh discusses Nyobolt's journey from a vacuum cleaner prototype to a partnership with Symbotic's warehouse robots, the case for ultra-fast charging over high energy density, and why the company's core lesson applies as much to startups as to battery chemistry: don't confuse your product with your purpose.

#battery #fastcharging #AIDataCentre #robotics #IoT #WeTalkIoT

 

Summary of this week's episode:

01:08 From automotive to deep-tech: Ramesh's background
02:00 Nyobolt's origin: Cambridge materials lab to commercial company
03:03 What forced the shift from materials to solutions provider
05:05 The secret sauce: what Nyobolt's battery does differently
06:47 Charging a car in under five minutes, and why range obsession misses the point
09:42 The AI data centre power problem explained
12:25 The Dynamic Response System vs. conventional UPS
13:55 Off-grid in Rajasthan: what the MoU actually means
14:50 Symbotic and the warehouse robot use case
16:02 Humanoids, trade-offs, and scaling the supply chain
17:55 Where Nyobolt focuses and why
19:05 Looking ahead: changing how industries think about operations
20:05 The talent ecosystem around Cambridge

 

Show notes:

Ramesh Narasimhan: https://www.linkedin.com/in/ramesh-narasimhan-201ab3a/

Nyobolt Dynamic Response System: https://nyobolt.com/ai-data-centre-power-solutions/

 

Listen to the "We Talk IoT" Soundtrack on:

Spotify: https://open.spotify.com/playlist/05MOV4OV2MH2in2txsAGtG?si=ad08112cb8d443f4

YouTube: https://www.youtube.com/watch?v=D-NvQ6VJYtE&list=PLLqgVFfZhDRVYmpEqbgajzDvGL4kACRDp

 

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