GPU Cloud · NVIDIA · Ampere

Închiriați GPU NVIDIA RTX 3090 Ti pe oră

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.

Specificații

VRAM per GPU

24 GB

Arhitectură

NVIDIA Ampere

Capacitate de calcul

8.6

Calcul FP32

≈ 36.4 TFLOPS

Lățime de bandă a memoriei

≈ 865 GB/s

Limită de putere

450 W

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Configurații disponibile

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Pentru ce este potrivit RTX 3090 Ti

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.

Este GPU-ul potrivit pentru dumneavoastră?

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.

Comparați cu GPU-uri similare

GPUVRAM per GPUArhitecturăCalcul FP32De la / orăDetalii
RTX 3090 Ti24 GBAmpere≈ 36.4 TFLOPS—
RTX 309024 GBAmpere≈ 35.4 TFLOPS—Detalii
RTX 4500Ada24 GBAda Lovelace≈ 38.2 TFLOPS—Detalii
RTX PRO 400024 GBBlackwell≈ 44.3 TFLOPS—Detalii

Întrebări frecvente

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.

Închiriați RTX 3090 Ti pe oră

Creați un cont, alegeți o configurație și conectați-vă prin SSH. Facturarea se oprește când ștergeți GPU-ul.

Închiriați RTX 3090 Ti

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