B200
Rent NVIDIA B200 GPU
B200 GPU: 180 GB HBM3e, Blackwell architecture. Explore workload requirements and check rental availability in GlobalAtlas AI Console.
Choose a configuration in Console to review its resources and estimated cost.
What to plan for
This page describes the 180 GB HGX B200 configuration. Other platform variants must be checked against their exact specification.
Size weights, runtime buffers and data separately. The host also needs CPU, RAM, disk and a suitable region. No rental price or availability is implied by this hardware specification.
What this GPU can be used for
Training and inference with high memory demand. Plan within the 180 GB memory budget after accounting for runtime overhead. The exact software stack determines which workload is suitable.
Popular deployment scenarios
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Explore →AI training
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Explore →Check availability: B200
Check the current price and configuration in Console. Your choice is saved through registration. The current lookup uses mock adapters; no real capacity is reserved.
Before you deploy
Is this GPU available right now?
The hardware page is permanent. Console checks the current adapter offers; if none match, it shows alternatives and lets you retry.
Does VRAM determine application performance?
No. Model, precision, context, software and batching matter. Measure your workload before committing to a configuration.
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Compare GPU memory and architectures, from RTX to data-center accelerators, then check configurations in one console.
Explore →Compare GPU specifications and pricing
Compare GPU memory size, memory technology and architecture across the GlobalAtlas AI hardware catalog.
Explore →H100
80 GB HBM3 · Hopper
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80 GB HBM2e · Ampere
Explore →Specification sources
Hardware and model documentation; these sources do not confirm rental availability.
Official documentation 1 →