The only AI that doesn't cost the earth to run.
A 200B parameter AI model uses enough power to run 1,675 Surface nodes. That's not an efficiency comparison. That's the difference between an architecture built for the internet and one built for your business.
See the demonstrator →The numbers
GPU AI
Surface
Powers 1 large AI model
Powers 1,675 nodes
300–700W per GPU
~15W per node
100s of GPUs required
1 vCPU per node
Continuous retraining cost
No retraining ever
Cloud-dependent
CPU-native
1,675 Surface nodes. One large AI model. The same energy.
That's not a benchmark.
That's what you're currently paying for — in energy, in cloud cost, in carbon — every hour a 200B parameter model is running.
Surface doesn't guess. Which means it also doesn't burn energy producing wrong answers. Every watt goes toward a traceable, governed, correct result.