Cedana

Accelerate AI and HPC insights and throughput 2-10x with live migration for GPU workloads.

[Keith Adams // Pebblebed @keithmadams]

For the impatient, snapshot/migrate/resume for vanilla GPU workloads works right now thanks to the good folks @cedanacorp.

[Cedana @cedanacorp]

Caltech's Computational Biology group used Cedana to automatically orchestrate AI and HPC workloads to deliver results ~2x faster and slash costs by ~80%.

This is the power of automated GPU workload migration.

https://t.co/AVan0BhTla

[Garry Tan @garrytan]

YC startup Cedana enables play/stop/rewind on all GPU and CPU compute - the result is 10x faster time to first token. Training jobs automatically resume from failures.

Caltech's computational biology team just saved 80% on compute by deploying Cedana 🤯

[Cedana @cedanacorp]

Cedana supercharges AI and HPC workloads with live migration of your GPU and CPU workloads. We automatically migrate jobs to optimize SLAs including performance, reliability, cost, and latency.

We seamless integrate with K8s, SLURM, Kubeflow, Kueue and Ray.

[Cedana @cedanacorp]

Cedana automatically migrates your GPU/CPU workloads when spot instances get revoked or catastrophic failure.

✅ 2-10x faster inference cold starts
✅ Save up to 80% on compute costs
✅ Fault-tolerant, higher throughput agents
✅ Zero code changes

https://t.co/H1R9025m9K