RTX 4090
Rent NVIDIA RTX 4090 GPU
RTX 4090 GPU: 24 GB GDDR6X, Ada Lovelace 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
24 GB may suit development workloads after memory sizing. A consumer GPU specification does not imply a data-center service SLA.
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
Prototyping, image generation and rendering. Plan within the 24 GB memory budget after accounting for runtime overhead. The exact software stack determines which workload is suitable.
Popular deployment scenarios
LLM hosting
LLM hosting: model selection, memory requirements, storage and deployment choices without invented performance claims.
Explore →Fine-tuning
Fine-tuning: model selection, memory requirements, storage and deployment choices without invented performance claims.
Explore →GPU rendering
GPU rendering: practical compute, data and recovery choices for a measured deployment plan.
Explore →Check availability: RTX 4090
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.
Related products and guides
GPU cloud
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.
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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 →