America's solar-powered AI cloud. Targeting up to 50% lower TCO and high margins via energy-aware scheduling. See methodology.
TerraSolar Cerebra delivers compute, data, and energy through solar-aligned micro-data centers
Targeting up to 50% lower total cost than typical hyperscaler stacks by aligning training to solar peaks and using DC-coupled storage. Methodology.
Integrates with public cloud where it makes sense; shifts batch workloads to our solar-aligned micro–data centers for cost and carbon advantages.
Modular solar + storage + compute units enable rapid deployment and scaling based on demand and solar resource availability.
Advanced ML models optimize workload placement based on solar generation forecasts, battery state, and energy costs.
Executives with deep expertise in renewable energy, AI infrastructure, and distributed systems
CEO & Founder
Serial entrepreneur with 15+ years in renewable energy and distributed systems. Former infrastructure lead at major cloud provider.
CTO
PhD in distributed systems, former principal engineer at hyperscaler. Expert in energy-aware computing and ML infrastructure.
Head of Energy Systems
20+ years in solar and energy storage. Led deployment of 500MW+ renewable projects. MIT PhD in electrical engineering.