Nscale

Nscale has raised the largest Series C round in Europe at $2 billion, led by Aker ASA and 8090 Industries. This round values Nscale at $14.6 billion. This investment fuels our global expansion, accelerates regional capacity, expands our engineering and operations teams, and strengthens the platform layer, powering training and inference at scale. Today, we also welcome three new Directors to our board: Sheryl Sandberg, Susan Decker, and Nick Clegg. Each brings substantial global depth across technology, policy, operations, and governance to an already world-class collection of business leaders. Hear from our Founder & CEO Josh Payne on what’s next. Read the full press release here: nscale.com/press-releases…

This is what we mean when we say Nscale is purpose-built for AI. Not a marketing claim. A design decision made at every layer of the stack, from the ground up. Follow us for more on how we think about AI infrastructure.

The practical difference for teams building on it: Higher GPU utilization Lower cost per token Faster experiment-to-production cycles No integration tax between layers

"Purpose-built for AI" gets used a lot. Here's what it actually means...and why it matters for the teams building on it...

Infrastructure built for fast experimentation is often not the infrastructure needed to hold up under sustained inference demand. Nscale's full-stack platform is built to support both stages. Read more in our AI Natives report: bit.ly/4f3S5NB

Drive, high agency, adaptability: what it takes to work at Nscale, in the words of those who work here. If that sounds like you, check out our open roles: bit.ly/3T7LxXd

Infrastructure is bound physically, but the services built on top of it don’t have to be. Location matters. Find out why: bit.ly/4f6SIpB

Nscale has achieved #NVIDIA Exemplar Cloud status on NVIDIA GB300 NVL72 for training workloads. 14 workload configs. 8 open models. 4 numerical formats, including NVFP4. 112 runs across 64 racks, all validated by @nvidia. Full story: bit.ly/44IkKTJ

Infrastructure fragmentation has a cost: performance ceilings, opaque pricing, sovereignty that stops at the service boundary. Read more from Daniel Bathurst, Chief Product Officer at #Nscale, on why building and operating owning every layer changes that: bit.ly/3R3nRCC

Alfred gives us greater control over AI-assisted software engineering by coordinating specialised agents, each with a single responsibility, from finding bugs to improving code quality. Read more on how it helps engineers focus on what matters most: bit.ly/4gwDrRA

Britain has strong foundations in AI. Now we need to turn that advantage into growth. In @ObserverUK, Imran Shafi argues that the new Prime Minister Andy Burnham will need to move fast to ensure the UK prospers in the age of AI. Read the full article: bit.ly/4gNMeic #AIInfrastructure #UKTech

This is the thesis #Nscale is executing against. $2 billion Series C. Data centers across Europe and North America. The full stack from energy to software. Follow us if you want to watch it being built!

McKinsey projects $7 trillion in AI infrastructure investment needed by 2030. That's not a market you can serve with repurposed general compute and a cloud portal. It requires vertically integrated, purpose-built infrastructure. Built from the ground up.

Every major #compute cycle looks the same from the outside: demand surges, supply scrambles to catch up, prices normalize. The AI infrastructure buildout is different. Here's why🧵