PaleBlueDot AI, a Silicon Valley-based AI infrastructure company, has raised $200 million in Series C funding at a $3.2 billion valuation. The round was led by ComputeCore with existing investor B Capital and other global investors also participating.
The new funding comes just months after PaleBlueDot AI announced its $150 million Series B in January, bringing the company’s recent fundraising activity to a significant level as demand for AI computing continues to grow.
Founded in 2024, California-based PaleBlueDot AI provides infrastructure designed to support large-scale AI workloads. Its platform combines company-owned GPU clusters, a GPU marketplace and serverless inference services.
The company operates dedicated GPU clusters that are customized for customers with large or specialized computing requirements. Its B300 cluster in Japan recently received NVIDIA Exemplar Cloud status, which recognizes its performance against NVIDIA’s reference benchmarks.
Through its GPU marketplace, PaleBlueDot AI also provides on-demand computing capacity from supply partners around the world. Its serverless inference service gives developers and enterprises access to flexible computing resources for deploying AI applications.
Stephen Watts, CEO of PaleBlueDot AI, expressed confidence in the company’s future plans: “We will continue to broaden our customer base, with a focus on frontier labs, Neolabs and enterprises in the U.S., and we will invest in our full-stack and go-to-market teams.”
The company said it has expanded both its data center capacity and customer base this year. As of the end of September 2026, PaleBlueDot AI had signed more than $5 billion in customer contracts. Customers in the U.S. and Japan accounted for more than half of its monthly revenue.
PaleBlueDot AI operates GPU clusters across various regions and serves customers in markets worldwide. The company said that its supply chain helps to clients rapidly deploy computing capacity while ensuring security and operational efficiency.
The $200 million Series C funding will be used to add more AI computing capacity and give customers greater choice in locations and hardware. The company plans to continue expanding its infrastructure as demand for high-performance AI computing grows.
