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.
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: https://t.co/rvswxRYO01
More than half of all AI inference calls already traverse mobile infrastructure.
The AI economy is running on networks telcos built, but they're are capturing almost none of the value. 🧵
APAC needs production-ready AI infrastructure faster than policy and power can currently supply it.
Closing that gap is the defining challenge for the region right now and it's exactly what we're tackling at in Bali next week.
Join us at #DCDconnect APAC in Bali next week for two discussions.
🌏 Tier 1 market investment opportunities across Malaysia, South Korea, Japan & Singapore
📍10 June, 2:00PM | Main Stage | Karangasem I+II Lower Level
🤝 Aligning policy and industry for APAC's next growth wave
📍11 June, 9:30AM | DCD Main Stage – Show Floor | Grand Ballroom
Nvidia CEO Jensen Huang highlights how our partnership is part of an emerging ecosystem delivering “world-class cloud” for “incredible customers”.
🎬Watch more:
https://t.co/DvJH3dxkZ9
Nscale is opening its first office in the United States, putting down roots in Bellevue.
With plans underway for a new hub in the Seattle area, we’re looking forward to further expanding our global engineering footprint.
Read more from the full interview with Nidhi Chappell:
https://t.co/JcluUsRz3m
Production-scale AI workloads put heavy demands on infrastructure. Kubernetes wasn't designed for this. When topology is wrong, performance collapses. 🧵