Rent NVIDIA GeForce RTX 3090 GPU
Launch NVIDIA GeForce RTX 3090 cloud capacity with 24GB VRAM for comfyui, image generation, cuda development, and prototypes. Lumino provides per-second billing, SSH access, a browser terminal, and public Docker image support.
Availability: NVIDIA GeForce RTX 3090 is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.
Check current RTX 3090 stock and pricing or create an Auto-rent request
Nearby alternatives to NVIDIA GeForce RTX 3090
- NVIDIA RTX PRO 6000 Blackwell Workstation Edition — 96GB, Blackwell, Supported by Lumino; check current RTX PRO 6000 stock and pricing.
- NVIDIA GeForce RTX 4090 — 24GB, Ada Lovelace, Supported by Lumino; check current RTX 4090 stock and pricing.
- NVIDIA GeForce RTX 5090 — 32GB, Blackwell, Supported by Lumino; check current RTX 5090 stock and pricing.
Is NVIDIA GeForce RTX 3090 the right GPU for your workload?
24GB VRAM fits many inference, image-generation, notebook, CUDA, and parameter-efficient fine-tuning workloads when model size and batch settings are controlled. This card ships GDDR6X.
Choose this GeForce-class GPU when raw CUDA price-performance matters and the workload does not require enterprise virtualization or datacenter-only features.
Ampere is the mature workhorse: broad CUDA and framework support, and on A100-class silicon, MIG slices that split one GPU into isolated fractional rentals.
Typical workloads: ComfyUI, image generation, CUDA development, and prototypes.
NVIDIA GeForce RTX 3090 specifications and rental details
| Hourly price | Check current marketplace pricing |
|---|---|
| GPU memory | 24GB VRAM |
| Architecture | Ampere |
| Fleet class | Consumer High-Performance |
| Memory bandwidth | 936 GB/s |
| FP16 performance | Up to 35.6 TFLOPS |
| Access | SSH, browser terminal, and Docker image support |
What fits in 24GB of VRAM: Proven memory for fine-tuning and experiments
- 7B-13B models: Full-precision 7B and quantized 13B models fit in 24GB for chat, RAG, and agent workloads.
- Image generation: SDXL, FLUX, and ComfyUI pipelines with headroom for ControlNet and batch rendering.
- Notebooks and prototypes: CUDA development, experimentation, and smaller fine-tuning runs.
- On this card: On this card: GDDR6X memory, launched 2020, 936 GB/s bandwidth.
Where NVIDIA GeForce RTX 3090 bottlenecks
Ampere bottlenecks are usually memory capacity and host-to-device transfer on large batches; MIG slicing helps only on supported A100-class silicon. Memory bandwidth on record is 936 GB/s.
How to rent NVIDIA GeForce RTX 3090
- Open the filtered marketplace result and confirm current stock and price.
- Select storage and a public Docker image for the workload.
- Start the rental, then connect over SSH or the browser terminal.
- Stop or terminate the pod when the job finishes and review any persistent-storage charge.
Open current RTX 3090 inventory
For serverless inference, compare Lumino hosted model APIs and review the developer documentation.
NVIDIA GeForce RTX 3090 rental FAQ
Can I rent NVIDIA GeForce RTX 3090 on Lumino AI?
Yes, Lumino AI maintains an explicit catalog entry for this GPU. NVIDIA GeForce RTX 3090 is part of the Lumino rental catalog; check current stock or create an Auto-rent request in the marketplace.
What is NVIDIA GeForce RTX 3090 best used for?
ComfyUI, image generation, CUDA development, and prototypes. Actual fit depends on model precision, batch size, context length, framework overhead, and concurrent users.
How much does NVIDIA GeForce RTX 3090 rental cost in India?
The hourly rate is listed live in the marketplace with per-second INR billing. Total job cost is rate times runtime plus any persistent storage.
What fits in 24GB of VRAM?
24GB VRAM fits many inference, image-generation, notebook, CUDA, and parameter-efficient fine-tuning workloads when model size and batch settings are controlled. This card ships GDDR6X. Keep 20-30 percent headroom above the raw model weights for context and batch size.
NVIDIA GeForce RTX 3090 vs NVIDIA RTX PRO 6000 Blackwell Workstation Edition?
The NVIDIA RTX PRO 6000 Blackwell Workstation Edition is the closest rentable alternative by category and memory. Pick by VRAM fit first, then hourly rate.
Can I split this GPU into smaller slices on NVIDIA GeForce RTX 3090?
A100-class Ampere silicon supports MIG slices: isolated fractional GPUs with their own memory and compute, rentable separately when a full card is unnecessary.
Is Ampere still worth renting?
Yes for value: mature CUDA support across every framework, and on 80GB cards, room for 70B-class inference and LoRA work at below-flagship hourly rates.
Does the rental include SSH and Docker?
Yes. Lumino supports SSH, a browser terminal, and public Docker images for supported CUDA workloads.