vMind Inference Infrastructure serves your trained AI models 24/7 with low latency. The GPU pool scales automatically with traffic; the p95 target response time is 200 ms and the service level commitment is 99.99% availability. Thanks to Istanbul-based access, network latency is lower than with overseas model APIs and your data does not leave the country. Training ends, inference never ends; the point here is not to train as fast as possible, but to deliver the most consistent response time at the most predictable cost.
Inference infrastructure is the system in which a trained AI model is run to handle live requests. Training takes days and ends; inference runs continuously for years.
For this reason, the priority is not total training time but per-request latency and predictable cost. vMind Inference Infrastructure runs on a GPU pool that scales automatically with traffic, and idle capacity does not incur cost.
Consistent Response Time, Predictable Cost
In an AI application running in production, what matters is not peak performance but delivering the same performance on every request. vMind Inference Infrastructure is designed accordingly.
If you are ready to move your model to production, share your workload; let us determine the right configuration together based on your target response time and traffic profile.
You can find answers to frequently asked questions about Inference Infrastructure in the Knowledge Center.
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