Why don’t we throw all the world’s compute at the one problem we all agree needs solving? Because compute can’t optimise what we haven’t learned to measure. What can be measured can scale, what scales begins to shape the world.

What a journey : from @SemiAnalysis_ I joined @nebiusai in 2025, when it was still an emerging AI cloud challenger. Today, it stands alongside the industry leader at the top of ClusterMAX from @SemiAnalysis_ Its execution speed is incredible. Exceptional engineers from many cultures prove what a global team can achieve. Proud to be part of it

Intelligence is often discussed as if it were immaterial. AI makes the opposite visible: reasoning requires chips, memory, energy and cooling. Compute does not diminish human thought. It gives more people the ability to test, build and discover at a scale once reserved for a few

World models have a hidden infrastructure cost : retaining enormous video datasets. The answer may look surprisingly old school : NVMe for active data. Object storage for warm datasets. Tape for rarely accessed footage 💾 Could a 75-year old technology become core AI infrastructure ?

Super happy to officially announce that we are a̶c̶q̶u̶i̶r̶i̶n̶g̶ joining forces with @nvidia 🔥 Here is a more personal take: AI is at an inflection point. Open source AI can become less relevant in the coming years if the big closed labs run away with it, OR it can become the foundational fabric of the next phase of human civilization. Those are vastly different outcomes, and we need the critical mass to ensure we give our collective best shot to the second outcome. Given @JensenHuang's stance on open source AI and how he stepped up to defend it when it was under threat earlier in the summer, NVIDIA was the only partner we truly considered. HF will remain an independently run, neutral platform. This gives fuel to our long-term vision and mission of unlocking the community's progress to ensure that AI, which is the greatest breakthrough of our lifetime, is accessible to as many people as possible.

New positions open! We’re looking for full-time researchers and interns with backgrounds in geometry and 3D vision to join our team at AMI Labs. The roles can be based in NYC, Paris, Montreal, or Singapore. If you’re interested, apply through the link below:

I attended this event last year and had a great time in rainy Porto. Probably one of the best events in Europe to meet and connect with leading voices in AI. This year will be the second edition @nebiusai is participating in, and I highly recommend getting your tickets!

HumanX. Aptly named. I’ll be speaking at HumanX Amsterdam and sharing a few war stories from the trials and tribulations of scaling AI inference to production. We’ll get into what actually matters when production workloads need to be better, faster, and cheaper and what tends to break along the way. There may also be a few surprise giveaways Come join us. @nebiusai × @HumanX

In the 2010s, my childhood friend's dad, a free-spirited french '68er, refused to buy a cell phone. He wanted to be "free," he'd say. No one bugging him, no one reaching him. Last week I saw him in the street of my hometown. Flip phone in hand. Funny how that goes. Some revolutions just end up inevitable. Got me thinking about robots. In 10 years, are we really ready to see them in our streets, our fields, our homes ? Honestly, I get the skeptics. This tech is going to reshape our lives in ways none of us can fully predict. But then, what about firefighter robots ? Robot doctors ? The ones that just save people ?

The next wave of frontier AI labs is taking shape, founded by some of AI's biggest names leaving Big Tech. Fascinating to watch this shift happen. • Safe Superintelligence with Ilya Sutskever (ex-OpenAI) • AMI Labs with Yann LeCun (ex-Meta) • Discovery Loop with a dream team of ex-Google researchers Apparently, Big Tech is the new Y Combinator for frontier AI labs