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For AI teams

Inference, GPUs and retrieval in one account

AI products need more than a model. They need endpoints that stay stable, vector search close to the data, GPU capacity when a job appears and a cost picture that separates experimentation from production.

Reference stackEstimated
  • AI Endpoint

    70B-class serving

    $25.95
  • Qdrant

    Managed vector search

    $12.99
  • Cloud 8

    Application and workers

    $21.99
Total$60.93/mo

Pricing shown for product preview purposes.

Outcomes

What AI teams get out of Hostacker.

  • Stable endpoints, swappable models

    Your application points at a Hostacker endpoint. Change the model behind it without shipping a code change.

  • Retrieval on the private network

    Managed Qdrant sits beside your endpoints, so embeddings and queries never leave Hostacker infrastructure.

  • GPU capacity by the hour

    Fine-tune or run a batch job on an accelerator, then stop the instance and stop the meter.

Serving, retrieval and training capacity behind one key, with usage broken out per workload rather than one opaque total.

Reference architecture for an applied AI team

Reference architectures are illustrative and not customer testimonials.

Start building on Hostacker

Create an account now and we will enable products on it as they become available.