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Inference Infrastructure

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.

What Is Inference Infrastructure?

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. 

Why vMind Inference Infrastructure: Advantages

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. 

Automatic Scaling Automatic Scaling
p95 200 ms Target Latency p95 200 ms Target Latency
99.99% Availability 99.99% Availability
Low Network Latency Low Network Latency
Model Version Management Model Version Management

What Do We Offer Under Inference Infrastructure?

  • 1- Automatically scaling GPU pool...
    Capacity is adjusted instantly according to traffic load.
  • 2- Model version management...
    New versions are rolled out through gradual deployment, and the ability to roll back is preserved.
  • 3- Performance monitoring...
    Per-request latency, error rate and utilization rate are continuously monitored and reported.
  • 4- Service level commitment...
    99.99% availability and a 15-minute response time for critical incidents.
  • 5- Usage-based billing...
    Payment is made for the capacity actually used.
  • 6- Türkiye-based access...
    Model outputs and request contents do not leave the country.

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.

Knowledge Center

You can find answers to frequently asked questions about Inference Infrastructure in the Knowledge Center.

Click here to go to the Knowledge Center. 

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