Infrastructure that scales with the screen, not the calendar.
Discovery and engineering workloads are bursty a billion compound screen one month, a batch of strain design simulations the next. We build cloud infrastructure that matches that pattern instead of fighting it.
What's included
- –Auto-scaling compute pools tuned for screening, simulation, and ML workloads
- –Storage lifecycle policies across raw, intermediate, and archival tiers
- –Cost visibility broken down by project, program, or grant
- –Runs inside your own cloud account your data stays under your control
RELATED
Cloud infrastructure is typically set up as part of a Pipeline Development engagement.