Consultation on AI workloads

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Scope your GPU needs with the team for a quote.
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On-demand GPU compute

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Spin up GPUs for experiments and short runs.
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Reserved GPU clusters

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Committed clusters lower the per hour GPU cost.
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Working out a Nebius deal

Since this is GPU heavy capacity, the price depends on the hardware and how much you commit to. Scoping your workload honestly keeps the quote fair.

A quick tip

Go in with your model size, expected utilisation and timeline. Reserved clusters cost less per hour than on demand when your usage is predictable.

Before you commit

Storage and networking matter as much as the GPUs for large training runs, so include them in the comparison. On demand suits experiments, while reserved rewards steady, planned work.