Immersion cooling directly submerges GPUs in a non-conductive fluid, which is about 1,000 times more effective at heat transfer than air. This prevents thermal throttling, allowing your GPUs (like NVIDIA H200s) to run consistently at their maximum clock speed for faster job completion. It also extends hardware lifespan, increases compute density significantly, and reduces overall power usage.

• Faster Deployment: Our smart-scale facilities can be operational in 12 months, compared to 36+ for typical large hyperscale builds, meaning faster access to capacity.

• Superior Performance: Immersion cooling prevents thermal throttling common in air-cooled cloud instances.

• Transparent Pricing: We offer clear, predictable pricing without the complex charges often found with hyperscalers.

• Higher Density: We provide significantly more GPU power within the same power envelope.

• Data Sovereignty: You maintain full control over your data and AI stack.

Our initial deployments feature high-performance NVIDIA H200 GPUs, housed in optimized Dell XE9680 servers. Because our smart-scale facilities can be built and commissioned in around 12 months (compared to 3+ years for traditional mega-facilities), we can offer significantly faster access to new capacity. We offer flexible allocation from a single GPU up to large clusters (e.g., 256 GPUs).

We offer flexible consumption models including On-Demand (hourly/weekly) and Reserved Capacity (1, 3, or 5-year terms with discounts). Our pricing is designed to be transparent and all-inclusive, addressing common frustrations with unpredictable cloud costs and hidden fees. Target rates are around $6.00/hr for H200 On-Demand and $3.50/hr for a 3-year H200 reservation.

Data sovereignty is core to our value proposition. Our architecture and business model ensure customers retain complete control and ownership of their AI stack and data within their dedicated resources. This addresses key concerns about data privacy and model security, offering a secure alternative to environments where data control might be less clear.