Frequently Asked Questions About Private Dedicated AI
Everything you need to know about dedicated AI servers, data sovereignty, pricing, compliance, and deployment — answered plainly.
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All Questions
What is a private AI server?
A private AI server is dedicated infrastructure that runs an AI model for a single organization. With Convergence AI, your own physical dedicated server hosts your model — no shared GPUs, no multi-tenant cloud, no third-party handoffs. Your data never touches a public AI provider's infrastructure.
How is a dedicated AI server different from cloud AI?
Cloud AI runs on shared, multi-tenant infrastructure where your data can be processed on hardware you don't control. A dedicated server is single-tenant: your data stays in your dedicated environment, with chain of custody from intake to inference.
Does my data train public AI models?
No. On a dedicated Convergence AI server, every input, every output, and every model weight stays under your control. Your data stays in your dedicated environment and never trains a shared public model.
Is my data exportable if I leave?
Yes. Everything on your dedicated server is exportable and auditable — models, data, and configuration. You maintain chain of custody at all times.
How is pricing structured?
Capacity-based pricing: no per-use pricing, no token caps, no rate limits, and no surprise overage charges. Your server runs at your pace, on your schedule, with predictable cost based on your hardware specifications.
Do I need to buy my own hardware?
No. Convergence AI builds and hosts your dedicated AI server in its secure private facility with direct connectivity to your network and team — the sovereignty of your own infrastructure without operating it yourself.
What compliance standards does it support?
Dedicated deployment is designed for regulated environments: healthcare (HIPAA), legal (privileged communications), and financial (confidential account data) — with full audit trails, access controls, and data that never leaves your controlled environment.
Can the AI connect to our existing systems?
Yes. Direct integration into your existing internal systems — your team interacts with AI that already understands your business, your knowledge base, and your workflows. Not a bolted-on chat window.
How is the model trained?
Your model is trained on your industry and your data — then deployed to your specifications. It continues to evolve with regular updates, retraining, and optimization as your business grows.
Which model size should we choose?
14B suits solo practitioners and small teams; 32B suits small-to-medium firms handling sensitive multi-document work; 200B suits organizations where complex, high-stakes decisions demand the best AI available.
Is the data center environmentally friendly?
Yes. Convergence servers are low-watt by design and room-temperature cooled — no industrial cooling infrastructure and no water waste. Hosting delivers AI with a fraction of the carbon footprint of hyperscale farms.
What kind of organizations use Convergence AI?
Healthcare practices and hospitals, law firms, CPA firms, RIAs, insurers, mortgage lenders, and any organization handling sensitive or regulated data that can't afford to share infrastructure.
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