Dedicated GPU Capacity Verification Checklist Before Signing

Verifying dedicated GPU capacity before signing means confirming the GPU type and count, testing performance against expected specs, validating the interconnect and storage throughput, and confirming the capacity is truly dedicated — not shared under a dedicated label. For the networking validation, see evaluating AI cluster networking. For the full provider evaluation, see evaluating secure AI providers.

The Verification Steps

Confirm GPU type and count: verify the physical GPUs match the contract — model, memory, count per server, and total count. Do not accept a provider's word; verify with system queries. Test performance: run a representative workload or benchmark and compare throughput against expected specs. A GPU that is the right model but underperforms may be throttled, misconfigured, or shared. Validate the interconnect: test point-to-point bandwidth between GPUs and collective operation performance at scale. The interconnect is where performance is most often overstated. Check storage throughput: verify the storage can deliver the contracted throughput, because storage that undershoots starves the GPUs. Confirm dedication: verify no other tenant's workloads are running on the GPUs. A provider labeling shared capacity as "dedicated" is a misrepresentation that verification catches. For the full testing, see cluster networking evaluation.

FAQ

How do I verify dedicated GPU capacity before signing?

Confirm GPU type/count, test performance, validate interconnect, check storage throughput, and confirm dedication — that no other tenants share the GPUs. Verification before signing is acceptance testing; without it, you accept whatever the provider delivers. See the five steps above.

Summary

Verify dedicated GPU capacity with five tests before signing. For the full evaluation framework, see evaluating AI cluster networking.