Pay-per-use compute

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Pay only for the node time you use.
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Container-based deployment

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Run your workload as a portable container.
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Low-cost distributed GPUs

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Consumer GPU network at very low prices.
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Saving on SaladCloud

By using spare consumer GPUs, SaladCloud undercuts mainstream GPU cloud prices sharply. The trade is that individual nodes can come and go, so it fits work that tolerates that.

How to keep it cheap

  1. Package your job as a container that can run across many nodes.
  2. Use it for inference, rendering or batch work that is fault tolerant.
  3. Scale node count to demand and release when idle.

Worth knowing

This is not the place for a single, always on critical server, but for spreadable workloads the cost savings are large. Design for nodes joining and leaving and it works well.