The Three Pillars of the AI Inference Grid
Smaller Buildings
Keep your data in your business; Keep your dollars in your community.
The AI Inference Grid is built using thousands of existing regional datacenters, small to mid-size colo datacenters and past telecom call offices and network sites.
Most of these buildings today are underutilized or fully vacant given the continuous migration of applications they hosted to public cloud over the past two decades.
These good power-shell buildings—already strategically distributed geographically—provide the ready-to-move-in building infrastructure the AI Inference Grid needs.
Power-Efficient Software Layer
STEM's platform layer enables creation of AI functions that consume a fraction of the power—all the way down to 1/2500th in some cases—of the power unoptimized yet highly popular AI methods use today.
By deploying this platform layer, STEM can bring powerful AI into buildings that have even less than a 1MW of power available to them.
There are thousands of such buildings ready to be transformed into AI inference nodes.
Oracle Technology
Oracle is the clear winner in AI infrastructure. STEM uses Oracle's Dedicated Region and Oracle's Exadata systems as they can be deployed with full hyperscale function parity into these buildings.
Oracle carries the capital cost for the hardware infrastructure and the labor for installation, maintenance, upgrades and expansion.
This partnership enables rapid deployment of enterprise-grade AI infrastructure in distributed locations.
Ready to Join the AI Inference Grid?
Connect with our team to explore how your organization can participate in the Private AI Inference deployment.