Sold by: Cedana
Cedana AI Compute Fabric automatically checkpoints and migrates live GPU workloads across Amazon EKS and Slurm without losing progress. Achieve up to 2x higher AI job throughput per GPU while increasing utilization, improving reliability, and enabling dynamic prioritization.
Overview
Cedana AI Compute Fabric provides system-level checkpointing and migration for GPU workloads running on Amazon EKS and Slurm.
Cedana makes execution state portable across nodes and instances, allowing AI training, fine-tuning, inference, and distributed workloads to pause, move, and resume without losing progress.
Unlike application-level checkpoints, Cedana operates transparently at the system layer, requiring no code changes while preserving full process state, GPU memory, and distributed context.
By decoupling AI workloads from fixed infrastructure, Cedana increases GPU utilization and delivers up to 2x higher AI job throughput per GPU. Workloads automatically recover from node failures, spot interruptions, and maintenance events without restarting from scratch.
Teams can dynamically reprioritize jobs, rebalance clusters, consolidate underutilized GPUs, and safely run long jobs on Spot instances.
The result:
- Improved reliability
- Reduced wasted compute
- Lower cloud costs
- Shorter queue times
- Higher productivity per $/GPU
Cedana integrates in minutes with Amazon EKS, and Slurm environments and supports single-node and distributed multi-GPU/CPU workloads.
Ideal for AI startups, research labs, enterprises, and platform teams operating multi-tenant GPU clusters, Cedana enables infrastructure automation, spot resilience, SLA enforcement, and efficient AI factory operations across AWS.
Highlights
- Cloud-Native GPU Checkpointing for Amazon EKS Automatically checkpoint and migrate AI workloads across Amazon EKS without code changes. Preserve full execution state, including GPU memory and distributed processes, enabling seamless recovery from node failures, spot interruptions, and autoscaling events.
- Increase Throughput 2x and Reduce GPU Wait Times Boost AI training and inference throughput by eliminating lost work from failures and preemptions. Cedana improves GPU utilization, enables dynamic job prioritization on Amazon EKS and Slurm, and reduces queue times across multi-tenant GPU clusters.
- Automate Spot Instances for Long-Running AI Jobs Run training and stateful inference workloads reliably on Amazon EC2 Spot Instances without losing progress. Cedana automatically checkpoints and resumes GPU workloads across interruptions, enabling resilient Spot usage, lower cloud costs, and significantly higher throughput per $/GPU on Amazon EKS.
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Dimension | Description | Cost/unit |
|---|---|---|
$/GB | Instance Memory under Management | $2.00 |
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Please email support@cedana.ai
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