Caltech uses Cedana to run complex workloads,
from GROMACS for molecular dynamics & simulations to finetuning models for protein discovery.
Across the stack
Caltech groups deploy arbitrary CPU and GPU workloads into Kubernetes using open components like Kueue and KServe.
Enable scale
Caltech uses Cedana to scale beyond 1000-plus runs for novel computational biology use cases.
Seamless multi-cloud
Caltech manages compute between on-prem HPC clusters and an EKS cluster to maximize resource utilization.
Planet-scale compute
Caltech manages multiple internal groups with safer preemptions, allowing for dynamic resource allocations.
