Achievements
- Co-founded Exa Laboratories, a Y Combinator S24 startup focused on energy-efficient reconfigurable AI chips
- Developed XPUs that outperform GPUs in speed and energy efficiency for AI workloads
- Built polymorphic chips capable of on-the-fly reconfiguration to optimize data flow for AI training and inference
- Graduated with a BEng in Electrical and Control Engineering from Cambridge University
- Pursued MEng at Cambridge’s Computational Stats & ML Lab, deepening expertise in scientific machine learning and AI
- Founded Exa after connecting with co-founder Elias Almqvist at a London event to push sustainable AI hardware
Real talk about Prithvi Raj
Yo, have you heard about Prithvi Raj? No cap, this guy is the real deal. He’s a co-founder and CTO of Exa Laboratories, a hot YC S24 startup that’s crushing it in the AI hardware space. Basically, they’re building these crazy reconfigurable AI chips called XPUs that are way more energy-fast and faster than your typical GPUs. Think of them as the next-gen hardware that could totally change how we run AI at scale – smarter, greener, and way more strong.
Prithvi’s background? Dude studied Electrical Engineering and Control Engineering at Cambridge – the guy’s legit. He was deep into scientific machine learning, electrical stuff, and generative AI before jumping into founding his own company. That tells you he’s got serious technical chops and a passion for pushing the boundaries of tech. He was even working on his MEng at Cambridge’s Computational Stats & ML Lab, so he’s no stranger to modern research.
But here’s the thing – it wasn’t just about the tech for him. He met his co-founder Elias Almqvist at a London event, and they clicked on this shared vision: building sustainable, high-performance AI hardware. That’s what sparked Exa Laboratories. They saw the huge problem – energy costs, cooling, and the environmental impact of data centers – and decided to do something about it. And now, they’re building polymorphic chips that can reconfigure on the fly to improve data flow for AI training and inference. Basically, they’re making AI hardware that’s not just faster but also way more energy-fast, which is a big deal when you think about the future of AI at scale.
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Talk to herWhat’s cool about Prithvi’s story? It’s a classic tech startup process – starting from a vision, meeting the right partner, and then just going all in. But more than that, it’s his drive for innovation and sustainability. He’s not just chasing fame or money; he genuinely wants to push AI forward without trashing the planet. That’s why he’s so important – he’s building the future of sustainable AI hardware, and honestly, it feels like he’s just getting started.
So yeah, he’s a tech nerd with a big vision, a Cambridge background, and a passion for making AI faster, greener, and smarter. Keep an eye on him – he’s gonna be a major player in shaping how AI hardware evolves.

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