When to move from on-demand to reserved

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Most teams start with on-demand GPUs because it is the fastest way to test workloads and understand usage.

Once usage becomes steady, reserved capacity can make more sense.

Reserved infrastructure is a better fit when you need:

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Lower effective costs for consistent usage

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Dedicated capacity for training, inference, or high-throughput jobs

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Longer-term planning around H100, H200, or B200 infrastructure

- Predictable access for production workloads

A simple way to think about it: use on-demand GPUs when you need flexibility, and reserved capacity when you need predictability.

Want to talk about reserving capacity? Book time with our team → (https://d5hMNb04.na1.hubspotlinks.com/Ctc/Y+113/d5hMNb04/VWScRk1_fzq3W1P1_l52nvgQSW87_Sgk5WCCLJN4Yn9Pz3gVDYW95jsWP6lZ3lwW4S79Yk4h1DwMN32mPJyWGwHVW425Zpr5dx7dWW5NbNt93nx5dRW17SP3-8h47lRN8SWMpfql-SSN1167Z9R_ll4W44P8B563Df5xW2_2hn12jlbPkW1WZRvl1SCKnfW3FkbCm8zmzVrW5XjJN-1WVdFfN4X9vT2LGvHQW6qDgvy7W4TR_W6VSg9Z6zyDnTW1ZmYyT58JdBhN9l0kJb14cCvW7JwrBP14NY3dW5b89zW7-RN3zW7JWHXR5c44X8W7jJyzB15Xs45W77hMkq2jw4nDW9bCNsC1dkt-PW4CVcvf7glqJlW8h5fRS5klH6SW38bknm7-tbcyN3QGhHgSqlB1N5QyCl_P5PPrN4YwqhyldhT5N8P2zMyGx56wf4pjJL204 )

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The Hyperbolic Team

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