Choosing the right GPU strategy saves thousands in compute costs.
Matching Workloads to Infrastructure
• On-prem is for constant, high-utilization tasks.
• Cloud is for bursty, variable workloads.
• Watch your egress costs when moving large models.
workload = {'hours': 720, 'rate': 2.50, 'data': 10} total = calculate_cost(workload['hours'], workload['rate'], workload['data']) print(f"Estimated monthly cost: ${total}") Key takeaway: Strategic infrastructure planning ensures you never pay for idle silicon.
