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Cedana is the compute multiplier for frontier inference.

We increase tokens per GPU-hour and expand usable GPU-hours at fleet-level scale. Transparent checkpoint, migrate, and resume turns GPU-hours lost to cold starts, failures, idle windows, and stranded placement into delivered tokens. Real-time GPU virtualization optimizes runtime execution to increase token throughput. These proprietary primitives deliver new capabilities for inference.

How the compute multiplier works

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  1. Provision to demand

    Cold starts 10 to 40x faster. Pools rebalance in seconds.

  2. Fill every idle GPU-hour

    A spot tier for idle windows. 2x the agentic tasks per GPU.

  3. Automate failure recovery and maintenance

    Jobs resume on healthy GPUs. No lost state.

  4. Increase token throughput

    10 to 20% more tokens, on top of your own optimizations.

Compute multiplier in action

  1. Cold starts8× B20029×faster restoreView benchmark
  2. Agentic workloads8× RTX PRO 60002.1×tasks per hourView benchmark
  3. Idle spot tierSlurm and Kubernetesup to87%of idle time convertedSlurmKubernetes

Multiply the fleet you already have.

Same hardware, same models, same serving stack. Bring one workload and we will show you the GPU-hours it gets back and the tokens it delivers.

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