Infrastructure needs capital before it needs scale We are happy to announce that we are partnering with @LiftoWorld to strengthen the path between real infrastructure, serious builders, and the capital needed to grow it Fundraising Partnership 🤝 @Core_Compute × @LiftoWorld

The point isn’t to put “compute” on-chain It’s to bring real machines, real usage and real infrastructure into a system that can be owned and verified That starts right here

The GPUs are only useful while they’re running Behind the racks are the systems built to keep power stable, bridge interruptions and keep critical infrastructure online This is the part of AI infrastructure nobody tweets about enough

From simulation to training, the right workload needs the right GPU

Real machines & infrastructure built to keep compute moving Welcome to Core Compute

Owning compute is vague Owning GPU #147 isn’t Core Compute is building GPU ownership around specific hardware, not an abstract share of a fleet If the asset is physical, the ownership should be specific too 💚

Built, tested, checked, racked The work starts here

Physical AI workloads don’t always fit into an hourly cloud model Training, simulation and evaluation can need dedicated capacity for weeks or months at a time 30 days, 90 days, 365 days. For serious workloads, consistency matters as much as raw compute.

More compute density means more heat And at scale, cooling stops being something around the GPUs instead it becomes part of the infrastructure itself Power gets the machines running Cooling keeps them there

AI is leaving the screen Robots, autonomous systems and embodied agents operate in the physical world but the training, simulation and continuous learning behind them still need serious compute Physical AI needs a physical layer That’s where @Core_Compute sits 💚

Everyone wants to see the GPUs We like showing what keeps them running too AI infrastructure starts with power 💚

Power continuity beyond batteries. Core Compute’s data center is supported by a silent diesel generator backup system, providing an additional layer of power resilience beyond the battery/UPS setup. The system is designed to keep critical infrastructure running during grid outages, voltage interruptions, or extended power failures, helping maintain continuous GPU operations and protect the data center from unexpected downtime.

INSIDE THE HALL / 03 THE WORK STARTS BEFORE THE WORKLOAD A GPU doesn’t become production-ready the moment it reaches the rack It gets installed→Burned in→Health-checked→Monitored Only then is it ready to run real workloads This is the less glamorous side of AI infrastructure and one of the most important Welcome inside Core Compute