GPU-ready infrastructure for the AI research frontier.

GPU Compute Availability

Foundation model training and large-scale inference require dense GPU clusters that are expensive, slow to procure, and hard to scale.

Data Sovereignty for AI

Training data, model weights, and research outputs represent national IP that must remain within sovereign boundaries.

Interconnect & Bandwidth

Distributed AI training requires ultra-high bandwidth interconnects between compute nodes — cloud networking introduces unacceptable latency.

Research Data Lakes

Multi-petabyte research datasets require high-performance storage with fast access for iterative training and experimentation.

Collaboration Infrastructure

Research institutions need secure infrastructure that enables multi-party collaboration without compromising data sovereignty.

Power Density

GPU-dense AI clusters require power densities far exceeding traditional data center designs — up to 100kW per rack.

Built for your needs.

Planck Q10 high-performance edge infrastructure delivers GPU-dense, high-power-density compute for AI research at the infrastructure layer. Sovereign, interconnect-optimised, and designed for continuous research workloads.