No rip-and-replace. No code changes. No disruption to your teams.
Build for HPC. Native support for SLURM workload manager job queues.


AI workload execution state is tightly bound to the GPUs where jobs start, forcing schedulers like Kubernetes and Slurm to commit resources upfront and locking infrastructure into rigid allocations that waste compute and limit productivity per $/GPU.


By making AI workload execution state portable, live GPU workloads can be safely saved, migrated, and resumed across instances without losing progress or restarting. With execution mobility, infrastructure becomes adaptive in real time, improving reliability, productivity, and operational efficiency.

Workloads automatically migrate to healthy infrastructure and resume after failures with no lost progress.

Automatic migration and recovery remove the need for large safety buffers to meet SLAs and QoS.

Kubernetes and SLURM adapt workloads in real time to failures and demand.

Workloads shift to idle GPUs, reclaiming capacity and maximizing cluster throughput.












Designed for high-performance compute environments where reliability and throughput are non-negotiable.

Automatically continue workloads from catastrophic failures without losing progress or restarting.


Automatically migrate workloads to eliminate idle GPUs and increase throughput.


Automatically continue workloads from catastrophic failures without losing progress or restarting.

"Cedana's infrastructure layer allowed us to increase throughput by 80% without changing our code, effectively doubling our research velocity."
Department of Biology and Biological Engineering

Native support for NCCL and MPI workloads. Achieve massive scale with note-aware scheduling and low-latency interconnect optimization.
Works with distributed multi-node compute, including NCCL and MPI workloads. Works with both CPU and GPU workloads.

Works across on-premise clusters, hybrid environments, and cloud infrastructure. Scale from a single node, to cluster, to AI factory.

Run a proof of Concept on Your Infrastructure.