Deployment

Inference inside your perimeter, on hardware we operate.

Every component runs behind your firewall. The public internet never sees your data or your models.

Why sovereign deployment

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.

How we deploy

01

Customer Datacenter

Hardware lives in your facility. We operate the stack remotely under your access controls.

02

Sovereign Colocation

Hardware lives in a colocation facility you select, dedicated to you, accessed only by your VPN.

03

Hybrid

Inference on-prem, training on isolated infrastructure. No cross-contamination of customer data.

Architecture

Every component runs inside your perimeter. The public internet never sees your data or your models.

◉ Customer Perimeter
Infrastructure
GPU Cluster
NVIDIA H100 · H200 · Blackwell
Surfside-operated
Model Stack
Fine-tuned Models
Llama · Qwen · Mistral · GLM
Custom domain adapters
Integration
API Layer
Role-based access control
Audit logs at every call
Your Systems
Customer Applications
EHR · PACS · ERP
Existing infrastructure
Public internet — data never crosses this boundary

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.

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