Sovereign Deployment
Inference inside your perimeter, on hardware we operate.
Why Sovereign
Most AI systems leak. Data crosses the public internet to reach a model, and crosses back to return an answer. For regulated work, that's a non-starter.
Surfside systems run on NVIDIA hardware deployed inside your environment. Protected health information doesn't move. Models fine-tuned on your data don't get inherited by the next customer. Inference latency is bounded by your network, not someone else's.
The Architecture
Every component runs inside your perimeter. The public internet never sees your data or your models.
How We Deploy
We size, deploy, and operate the GPU infrastructure end-to-end. Customers describe the workload; we deliver the cluster, the model stack, and the integration layer.
Customer Datacenter
Hardware lives in your facility. We operate the stack remotely under your access controls.
Sovereign Colocation
Hardware lives in a colocation facility you select, dedicated to you, accessed only by your VPN.
Hybrid
Inference on-prem, training on isolated infrastructure. No cross-contamination of customer data.
Hardware
Validated on NVIDIA H100, H200, and Blackwell-class accelerators. Cluster sizing is based on workload profile — context length, batch size, latency target, expected requests per second.
We size for steady-state plus measured headroom, not peak hype.
Models
We run open-weight foundation models — Llama, Qwen, Mistral, and GLM lineages — fine-tuned to customer domain. Vision-language models for document and image understanding. Custom adapters where general-purpose models underperform on the customer's data.
Compliance
- Architectures designed to support HIPAA, SOC 2, and customer-specific compliance regimes
- Audit logging at every model interaction
- Role-based access at the inference layer
- Zero data retention outside the customer perimeter