A100
Rent NVIDIA A100 GPU
A100 GPU: 80 GB HBM2e, Ampere 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
The reference is A100 80 GB. A100 also exists with 40 GB, so the model name alone is not enough to select capacity.
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
Established CUDA workloads and model training. Plan within the 80 GB memory budget after accounting for runtime overhead. The exact software stack determines which workload is suitable.
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Explore →Check availability: A100
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
Explore →Specification sources
Hardware and model documentation; these sources do not confirm rental availability.
Official documentation 1 →