Nscale is building the engine of superintelligence. We offer full-stack AI infrastructure to power the world’s most powerful systems, from ground to cloud.
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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/ns…
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Nscale Raises $3.36 Billion in Pre-IPO Convertible Financing.
Read more: nscale.com/press-releases/pr…
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How Nscale automated GPU fault diagnosis and remediation across the fleet, from burn-in at data center turn-up through to day-2 operations: nscale.com/blog/the-gpu-flee…
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Enterprise AI isn't stalling on compute. It's stalling on trust and fear.
Jeff Denworth of @VAST_Data on why data architecture is the real constraint most AI strategies underestimate: nscale.com/blog/is-data-ais-…
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Everything we build exists to serve products.
@fidjissimo former CEO of AGI Deployment at OpenAI and CEO and Chair of Instacart, has joined the Nscale Board of Directors.
"Very few leaders understand what delivering products at that scale demand of the systems underneath them." – @JoshPayneNscale
Read more: nscale.com/press-releases/fi…
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Nscale is a gold sponsor of Tech Week Singapore. Find us at Stand N46 on Level 5 of the Sands Expo & Convention Center between September 29-30:
singaporetechnologyweek.com/…
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Nscale's Fleet Operations diagnoses GPU faults in seconds, resolves many without human intervention, and returns nodes to service in hours, not days.
Read more: nscale.com/blog/the-gpu-flee…
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Nscale retweeted
Physical intelligence is AI's next frontier, and it runs into the same constraint as everything else in AI: compute. Figure's Helix models get more capable with more of it. Nscale solves this. We’re thrilled to be working with you. @adcock_brett @JensenHuang
Today, Figure is partnering with Nscale to deploy up to 100,000 GPUs on the NVIDIA Vera Rubin Platform
We're committing $3.5 billion initially, with plans to scale beyond $6 billion
To ship a robot into every home, we need a massive amount of compute
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Nscale is a title sponsor of @HumanXCo Europe. Join us September 22-24 in Amsterdam.
If you're training or serving models at scale and want to talk about what full-stack infrastructure actually looks like underneath that, book time with the team on site: nscale.com/events/humanx-ams…
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In AI infrastructure, capacity is the easy part to quantify. What it produces is harder.
CPO Dan Bathurst on where growth in this market actually gets decided: nscale.com/blog/the-product-…
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Time to first token (TTFT) has become a useful signal of full-stack AI performance.
At @RaiseSummit, Nscale hosted a panel with @nvidia and @VAST_Data to discuss why TTFT now sits at the center of AI infrastructure design.
Read the key takeaways: nscale.com/blog/what-time-to…
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Ray Summit 2026 saw Nscale connect with developers and engineers across the entire @anyscalecompute community.
Stay tuned for more insights from our week in San Francisco.
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The gift comes alongside a new report by Ernst & Young on our work at Monarch Compute Campus, which projects annual tax revenues from Phase One of the development to reach $105 million, including $87 million for Mason County Public Schools.
We’re committed to delivering a positive academic and economic impact across the district and wider region.
Read the full announcement: community.nscale.com/initiat…
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Founder & CEO @JoshPayneNscale is on the 2026 #TIME100 AI list.
@TIME’s list recognizes the top 100 global innovators, shapers, and thinkers who have a stake in the future of artificial intelligence.
Read more: time.com/collection/time100-…
#TIME100AI
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AI infrastructure has a new scorecard. As inference scales, performance is about how effectively the entire stack turns compute into results.
This month in Full Stack AI, we look at why time to first token brings that shift into focus.
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New models, GPUs, and frameworks arrive every few months. Your infrastructure shouldn't need to be rebuilt every time.
Read more about designing an AI stack that can evolve while the underlying infrastructure remains consistent:
nscale.com/blog/what-is-the-…
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What makes an AI system feel fast? A big part of the answer is time to first token: how quickly the first output token appears.
TTFT hinges on more than any single component. Every layer of the stack plays a role.
We break it down here: nscale.com/blog/what-is-time…
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