Rent NVIDIA RTX 3090 Ti GPU by the hour
The NVIDIA RTX 3090 Ti is an Ampere-architecture consumer GPU equipped with 24 GB of VRAM and a 450 W thermal design power. It delivers about 36.4 TFLOPS of single-precision compute and about 865 GB/s of memory bandwidth, supporting CUDA compute capability 8.6. On ONIE, you can rent this hardware with per-hour billing, direct SSH access, and pre-configured software templates.
Specifications
VRAM per GPU
Architecture
Compute capability
FP32 compute
Memory bandwidth
Power limit
Values reported by the infrastructure provider for machines currently listed; real performance varies by machine.
Available configurations
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What the RTX 3090 Ti is good for
Local LLM Inference
Run quantized language models that fit comfortably within 24 GB of VRAM using ready-made vLLM or Ollama templates.
Generative Image Workflows
Execute complex diffusion pipelines and custom node graphs with the ComfyUI template, utilizing about 865 GB/s of memory bandwidth.
Deep Learning Prototyping
Develop and test neural networks in PyTorch with CUDA compute capability 8.6 and about 36.4 TFLOPS of single-precision compute.
LoRA Fine-Tuning
Train lightweight adapters and fine-tune medium-sized vision or text models without exceeding the 24 GB memory ceiling.
Is it the right GPU for you?
The RTX 3090 Ti is a practical choice for developers and researchers who need 24 GB of VRAM on an Ampere consumer card for inference or moderate training tasks. Choose a GPU with lower memory if you only run small models, or step up to a workstation or datacenter GPU if your workloads require more than 24 GB of VRAM or newer architectural features.
Compare with similar GPUs
Frequently asked questions
Is the RTX 3090 Ti suitable for LLM inference and image generation?
Yes, its 24 GB of VRAM and about 865 GB/s of memory bandwidth make it well-suited for hosting medium-sized or quantized language models and running image generation workflows. You can launch pre-configured templates for vLLM, Ollama, or ComfyUI to start immediately.
How does the RTX 3090 Ti compare to newer consumer or workstation GPUs?
As an Ampere-generation consumer GPU with compute capability 8.6, it offers the same 24 GB VRAM capacity as newer high-end consumer cards, though newer architectures generally provide higher compute throughput and power efficiency than its 450 W design. If your workload is strictly memory-bound and fits within 24 GB, it remains a capable option.
How do I connect to my RTX 3090 Ti instance on ONIE?
Once your instance is running, you can connect directly via SSH for full command-line control. You can also deploy ready templates for PyTorch with CUDA, vLLM, Ollama, or ComfyUI.
How does billing work for renting this GPU?
Instances on ONIE use per-hour billing, allowing you to pay only for the time your RTX 3090 Ti environment is active.
Rent the RTX 3090 Ti by the hour
Create an account, choose a configuration and connect over SSH. Billing stops when you delete the GPU.
Rent RTX 3090 Ti