Self-Hosted AI — What It Means

1 min read

What Self-Hosted Means

Torki runs its AI models on dedicated, self-hosted hardware rather than relying on third-party cloud AI providers. Torki uses high-performance GPUs with a custom inference engine optimized for speed and quality. This is a fundamentally different architecture from services that simply wrap API calls to third-party providers.

Why This Matters for Privacy

  • Your conversations stay on our servers — When you chat with Torki, your messages are processed by AI models running on hardware we control. They are not sent to a third-party company's API.
  • No third-party data sharing — Cloud AI providers typically process your data on their infrastructure, subject to their own privacy policies and potential use for model training. With self-hosted AI, this concern is eliminated.
  • Full data sovereignty — We control the entire pipeline from input to output, meaning we can make and enforce strong privacy guarantees.

Why This Matters for Performance

  • Dedicated GPU resources — Since Torki runs on its own hardware, you are not competing with millions of other users for processing capacity.
  • Lower latency — Responses are generated locally rather than being routed through external APIs, which reduces response times.
  • Customized models — Self-hosting allows us to optimize and fine-tune models specifically for Torki's use cases.

Self-hosted AI is more expensive and complex to operate than using cloud APIs, but we believe the privacy and performance benefits make it the right choice.

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