We’re opening internal access to FPL’s AI-native cloud platform.
The platform brings together GPU and CPU compute substrates, with a focus on on-premises deployments and sovereign AI. We’re starting with internal use: putting the infrastructure to work, learning from real workloads, and improving the experience before opening it more broadly.
Our goal is straightforward: make AI infrastructure useful without asking teams to give up control of their computing environment.
An AI application needs more than an inference endpoint. It needs the software around the model: services, data preparation, integrations, storage, and the everyday operations that keep a system usable.
source & further reading
fpl.dev — original article
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