Check which B300 configuration the quote describes
NVIDIA’s DGX B300 documentation specifies eight B300 Blackwell Ultra GPUs with 288 GB of memory each. A cloud listing can expose one GPU, a larger multi-GPU instance, or a partition of a GPU. These are different rental units and should not share one price comparison.
The GPUIndexes B300 basket uses the exact full-GPU b300-sxm catalog model and one GPU per instance. It excludes GB300 entries and B300 MIG partitions. The reference is therefore specific to that catalog configuration rather than a claim about every Blackwell system.
Understand nominal and catalog memory labels
The current source catalog uses a 262 GB label for its full B300 SXM model. NVIDIA’s published nominal specification is 288 GB. We disclose that discrepancy rather than silently presenting the source label as the manufacturer specification.
For the exact b300-sxm model, our matching rule accepts the legacy 262 GB label or the nominal 288 GB label. Downloads preserve both the catalog value and nominal value. This mapping does not apply to GB300 or to reduced-memory partitions, and it is not a promise about the memory available to a particular application. Confirm the configuration with the provider.
Compare the whole commitment
Start with instance GPU count and billing type. A low per-GPU rate inside an eight-GPU server can still carry a much larger whole-instance bill than a one-GPU offer. Storage, CPU, network charges, billing increments and minimum commitments can also change the cost.
The B300 reference page shows the current source timestamp, provider coverage and individual provider floors. It intentionally excludes spot and reserved pricing, so its reference should not be directly compared with a headline promotion or an interruptible offer without reconciling the terms.
Extra memory is not a workload benchmark
GPU memory capacity is one constraint in selecting hardware. Throughput, model precision, sequence length, batch size, software support and interconnect can all matter. A hardware specification alone cannot establish the cost per completed job.
Use the rental reference to understand the observed pricing basket, then benchmark a representative workload and inspect the provider’s final quote. This guide contains no independently measured training or inference performance claims.