Practical insights on GPU cloud pricing, machine learning infrastructure, and compute optimization.
Not every workload needs an H100. We see teams provisioning flagship datacenter GPUs for jobs that would run equally well on hardware costing 60% less. Here's a practical framework for matching workloads to hardware.
Spot GPUs can cost 60–80% less than on-demand instances. For a team spending $5,000/month on GPU compute, that's up to $4,000 in monthly savings. The catch: your instance can be terminated with little warning.
The hourly rate on the pricing page is just the beginning. After analyzing billing patterns across hundreds of GPU cloud deployments, we consistently see actual costs running 30–60% higher than the sticker price.
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