Skip to main content

Qarnot raises $6.5 million for its computer servers that heat buildings

French startup Qarnot has raised a $6.5 million (€6 million) funding round. The company manufactures heaters and boilers with a special trick — they pack computers as computers tend to generate a lot of heat. Qarnot then lets companies leverage that computing power by running tasks on those unusual servers.

Banque des Territoires, Caisse des Dépôts, Engie Rassembleur d'Énergies, A/O PropTech and Groupe Casino are participating in today’s funding round.

When you design a data center, you transform electricity into computing resources and heat. Data centers always have to find clever new ways to get rid of heat with powerful cooling mechanisms.

Qarnot is designing alternative data centers by taking advantage of heat instead of fighting heat. The company first started with computing heaters, an electrical heater with a server. The company sells those devices to construction companies looking for heaters for their new buildings.

People living or working in those buildings can then control heating directly on the heaters or through a mobile app. Nearly 1,000 social housing units are heated by Qarnot.

At the other end of the equation, companies such as BNP Paribas, Société Générale and Natixis rent those servers for their own needs. Illumination Mac Guff is also using the platform to generate 3D models for animated movies.

Heating suffers from seasonality. That’s why Qarnot has also designed scalable boiler systems. Those boilers pack CPU servers or a mix of CPU and GPU servers. Qarnot has also set up a joint venture with Groupe Casino to heat warehouses with computer racks.



from TechCrunch https://ift.tt/2xB94pw
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT