AI silicon
built for discovery

XPU chips run inference and training on a fraction of the energy, built for the era of recursive self-improvement and superintelligence.

Products

FPGA PrototypeComing soon

XPU Grasshopper

Our XPU, running on FPGA today and heading to silicon. Nearly all the energy in AI goes to moving data, so the XPU keeps it close.

Cluster

Monolith

Connecting XPUs creates a bigger XPU. Monolith is a cluster of XPUs that behaves as one chip, running the work that dominates modern AI. Agents, experience generation, and training, all on the same silicon. More soon.

Our thesis

The substrate for all future knowledge

AI is moving from reading the internet to discovering new science, new materials, and new medicine. That is the road to superintelligence, and we build the hardware that takes it there.

Language is spent

Models have read nearly everything humanity has written, and each new round of scale buys less than the last. More text will not produce the next leap.

Experience is the new data

Models improve by acting, being scored, and learning from the result. Most of that compute goes to generating experience, and each round bakes what was learned into the model itself. That is recursive self-improvement.

Silicon sets the ceiling

Moving data costs far more energy than computing on it, and datacenters are capped by power. The machine that keeps data close sets the pace of discovery.

01 / Light

Bend Light

Every chip is written with light, a pattern focused onto a wafer a few atoms at a time. What you draw decides what the machine is good at. On every chip in the world today, the arithmetic is nearly free and the distance the data travels is the bill.

02 / Sand

Teaching Sand To Think

Silicon is sand, refined into a single flawless crystal and written with billions of switches. Everything AI has ever done ran on this. It has read nearly everything humanity has written. What it learns next it has to make for itself, as experience, and the price of experience is compute.

03 / Chip

Polymorphic Computing

GPUs were built for graphics. TPUs were built for tensor math. XPUs are built for frontier AI. Reconfigurable silicon that changes with the work, so the hardware never falls behind the models it runs.

04 / Monolith

Monolith

Connecting XPUs creates a bigger XPU. Monolith is a cluster that behaves as one chip and runs the long, stateful work that dominates modern AI: agents, experience generation, and training, on one machine.

05 / Factory

AI Discovery Factory

When labor and intelligence are nearly free, the only scarcity left is new knowledge. A discovery factory manufactures it. The AI proposes, a simulator checks, and the result trains the next proposal. Its output is useful trajectories per second, and every one makes the next one better.

Read the essay

06 / Dyson Swarm

Dyson Swarm

Compute is bounded by energy, and the Sun is the most abundant source of energy we know of. A discovery factory in orbit around it turns that light into trajectories, experience, and knowledge that did not exist before. The chips we are building today are the first step on that path, and the path has no end.

Join the team

Careers

Build the future of computing

We're hiring founding engineers across the stack to bring silicon back to Silicon Valley. In person in San Francisco, with a direct hand in the research and the products.

Degrees and titles don't matter here. Send a demo of something you're proud of and we'll talk.

See all open roles
Open roles01
01Senior Silicon EngineerEngineering / HardwareSan Francisco$200K - $300K

Don't see your role? Send a demo of something you've built to careers@zscc.ai

Contact

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