RTX 4090
24 GB VRAM
Consumer GPU for local inference and creative workflows.
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THE COMPUTE GUIDEDon’t own the GPU?
Don’t own the GPU?
Rent it.
Start with the memory your workload needs. Then compare the hardware, provider, and total cost.
GPU memory below is a manufacturer specification, not a tested model fit. Check runtime, precision, context, storage, and regional availability before starting an instance.
Meet the hardware.
6 GPU OPTIONSRTX 5090
32 GB VRAM
Higher memory capacity for demanding local workloads.
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RTX A6000
48 GB VRAM
Workstation memory capacity for larger model footprints.
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A100 · 80GB
80 GB VRAM
Data-center GPU for larger inference workloads.
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H100 · 80GB
80 GB VRAM
Data-center GPU for compute-intensive workloads.
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H200
141 GB VRAM
High memory capacity for large model workloads.
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Pick your launchpad.
Independent options. No provider is recommended until we’ve configured a recommendation.
RunPod
GPU Pods and serverless compute.
- Pod and serverless options
- Template-based deployment
Availability varies by region
Usage-based
Region and stock: check provider
Region and stock: check provider
SSHSTORAGE OPTIONSSERVERLESS
View current pricing Vast.ai
A marketplace for GPU compute.
- Marketplace choice
- Search by hardware
Host configuration and availability vary
Marketplace offer
Region and stock: check provider
Region and stock: check provider
SSHSTORAGE OPTIONS
View current pricing Lambda
Cloud GPU instances and clusters.
- GPU instances
- Cluster options
Capacity varies by location
Per-instance usage
Region and stock: check provider
Region and stock: check provider
SSHSTORAGE OPTIONS
View current pricing Plan for storage and idle resources as well as GPU time. Rates are stored separately from editorial content and will show a checked date when a verified quote is added.