Najemite GPU NVIDIA RTX 3090 Ti na uro
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.
Specifikacije
VRAM na GPU
Arhitektura
Računska zmogljivost
Računska zmogljivost FP32
Pasovna širina pomnilnika
Omejitev moči
Vrednosti, ki jih za trenutno navedene stroje sporoča ponudnik infrastrukture; dejanska zmogljivost se razlikuje glede na stroj.
Razpoložljive konfiguracije
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Za kaj je RTX 3090 Ti primeren
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.
Ali je to pravi GPU za vas?
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.
Primerjajte s podobnimi GPU-ji
| GPU | VRAM na GPU | Arhitektura | Računska zmogljivost FP32 | Od / uro | Podrobnosti |
|---|---|---|---|---|---|
| RTX 3090 Ti | 24 GB | Ampere | ≈ 36.4 TFLOPS | — | |
| RTX 3090 | 24 GB | Ampere | ≈ 35.4 TFLOPS | — | Podrobnosti |
| RTX 4500Ada | 24 GB | Ada Lovelace | ≈ 38.2 TFLOPS | — | Podrobnosti |
| RTX PRO 4000 | 24 GB | Blackwell | ≈ 44.3 TFLOPS | — | Podrobnosti |
Pogosta vprašanja
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.
Najamite RTX 3090 Ti po uri
Ustvarite račun, izberite konfiguracijo in se povežite prek SSH. Obračun se ustavi, ko izbrišete GPU.
Najamite RTX 3090 Ti