Workload placement

Workload Placement Worksheet

Short answer: Use this when the team is choosing between default cloud, smaller cloud, GPU cloud, bare metal, or managed infrastructure.

Estimate only
  • This is a decision checklist, not a final price quote.
  • Verify final numbers against provider pricing pages and your own bill or quote.

RunPlacement quiz

Pressure-test this workload

Pick placement from workload shape, cost sensitivity, GPU need, data movement, and ops tolerance; not from provider familiarity alone.

Uses workload type, budget, GPU need, data movement, priority, and ops tolerance.
Use the quiz

Placement decision map

Provider choice should come after workload shape.

The right category usually appears once the workload’s constraints are visible.

01 Shape

Batch, web, training, inference, data pipeline, or steady service.

02 Constraint

Cheap, fast, simple, available capacity, or low operational burden.

03 Gravity

GPU need, data movement, latency, compliance, and persistence.

04 Placement

Default cloud, GPU cloud, smaller cloud, bare metal, or managed platform.

Short Answer

  • The best placement is workload-specific.
  • A cheap option can become expensive if it adds ops load, data transfer, or idle capacity.
  • A familiar provider can become expensive when the workload only needs a simpler placement category.

Inputs To Capture

  • Workload type: batch jobs, inference, training, web app, or data pipeline.
  • Runtime pattern: steady, bursty, batch, experimental, or always-on.
  • Current provider and what feels wrong.
  • Monthly budget range and whether the pain is recurring or one-off.
  • GPU need, GPU utilization expectation, and capacity sensitivity.
  • Data movement volume, region needs, and latency sensitivity.
  • Ops tolerance, internal expertise, and incident expectations.

Placement Decision Table

  • Default cloud: best when managed services, compliance, reliability, or team familiarity matter most.
  • Specialized GPU cloud: best when GPU availability and useful GPU-hours dominate the decision.
  • Smaller cloud: best when the workload is simple, steady, and overpaying for default-cloud breadth.
  • Bare metal: best when utilization is high, workload is stable, and the team can operate hardware-like infrastructure.
  • Managed platform or agency help: best when simplicity and low ops burden matter more than lowest unit cost.

Rough Math

  • Placement fit = recurring cost + hidden cost + operational cost + risk cost.
  • Ops-adjusted cost = infrastructure bill + estimated engineer time + incident risk.
  • Utilization break-even = fixed monthly cost / expected useful workload hours.
  • The worksheet is directional; use provider quotes and observed bills for final pricing.

Questions To Answer

  • What must be true for this workload to be considered successful?
  • Is the pain cost, speed, availability, simplicity, or uncertainty?
  • Does the workload need provider-specific services or just compute?
  • How much data moves in and out of the placement?
  • Can the team operate the cheaper option without creating a new failure mode?
  • Would a partial move solve the problem without a full migration?

Red Flags

  • The decision starts with a provider brand instead of workload shape.
  • The cheapest option requires ops work nobody owns.
  • The team cannot explain data movement.
  • The workload is experimental but the infrastructure choice creates long commitments.
  • The bill is high but no one has separated compute, storage, networking, and managed services.

When To Use The Quiz

  • Use the RunPlacement quiz when the team is arguing across categories instead of comparing exact providers.
  • The quiz turns the worksheet inputs into a rough recommended category.

Sources

RunPlacement quiz

Pressure-test this workload

Pick placement from workload shape, cost sensitivity, GPU need, data movement, and ops tolerance; not from provider familiarity alone.

Uses workload type, budget, GPU need, data movement, priority, and ops tolerance.
Use the quiz