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GPU Capacity Planning Basics
Plan GPU fleets wisely
Planning GPU capacity requires sizing workloads (training/inference), setting utilization targets, considering interconnect/storage needs, and balancing on-prem vs cloud costs and elasticity.
- gpu
- capacity planning
- training
- inference
- utilization
Profile Workloads
Estimate GPU hours/memory and interconnect for jobs.
Set Targets
Aim for healthy utilization without starvation; plan queues.
Choose Footprint
Mix on-prem for steady load and cloud burst for spikes.
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