AI and model teams

The Bulk Run Manager

For a team with millions of prompts to process.

One signal · 12 specialists · one result
Capacity PlannerCloud GPU BuyerCompute Budget GuardianBulk Inference Run ManagerFailed Machine Recovery SpecialistCompute Cost ReporterFailed Item ReplayerRun Verification ClerkGPU Fleet ManagerDatabase Overload GuardCloud Price WatcherRecovery Policy Setter
  • Runs infrastructure9
  • Audits and guards3
How the work moves

Five steps, each done by one specialist

Starts with

Millions of prompts waiting to be processed

First
1Estimates the job and where it should runCapacity Planner2Rents the processors needed within the day's budgetCloud GPU Buyer3Spreads the prompts across the rented processorsBulk Inference Run Manager
Then
4Replaces failed machines and picks up their workFailed Machine Recovery Specialist5Delivers the results with a report of the costCompute Cost Reporter
Ends with

Finished results and a report of what they cost

the signalthe resultEach step is done by one specialist on the crew

The story

The agent estimates the job, rents the processors it needs within the budget and spreads the work across them. Machines that fail are replaced and their work is picked up. The results arrive with a cost report.

The crew

The specialists behind this role, grouped by the kind of work they do.

Runs infrastructure
  • Bulk Inference Run ManagerTakes a very large pile of prompts, packs them so every GPU stays busy, collects the answers after the submitting programs have gone home, and writes the results back with every item accounted for.Also serves The Research Lab
  • Failed Machine Recovery SpecialistNotices when a GPU worker gets sick or goes silent, then moves its work: to a free local card first, then to the same provider at today's price, then to another provider, and otherwise into a waiting line.Also serves The Night Shift
  • Capacity PlannerReads how fast each card runs, how full the queues and the database are, what is running now and what spot GPUs cost, then proposes where the next workload should go and whether renting is worth it.Also serves The Model Launch Manager
  • Compute Cost ReporterReports what compute and AI usage cost, broken down by machine, by dataset, by team role and by model, with today's projection and storage costs alongside.Also serves The Morning Brief, The Spend Controller
  • Recovery Policy SetterSets for each job whether a lost machine is replaced automatically, moved to owned hardware, paused for a decision or allowed to fail, and how much extra price is acceptable.Also serves The Spend Controller
  • Failed Item ReplayerSends only the failed items of a large run back through, cancels a run that should stop, and refuses to start a duplicate of a run already in progress.Also serves The Research Lab
  • GPU Fleet ManagerStarts a GPU worker on whichever machine you name, tells you what is running where, and shuts down idle workers with their final cost.Also serves The Branch Office Engineer
  • Cloud Price WatcherIt compares the new price with the ceiling the owner set, then moves the work or holds it.Also serves The Spend Controller
  • Cloud GPU BuyerRents cloud GPUs only when the day's budget allows, prefers the cheapest current spot price, connects them back to your private network over an outbound link, and hands them back as soon as the work is done or the money runs out.Also serves The Branch Office Engineer
Audits and guards

Where this crew also works

Each bar counts the specialists this role shares with another.

The engineering behind this role

High-throughput batch inference and embeddingsCapabilityBudgets and refusalsIdeaOne call to a GPU anywhereEngineering storyRecovery that trusts only what happenedEngineering story