GPU Cloud · NVIDIA · Ada Lovelace

Наемете NVIDIA RTX 4090 GPU на почасова база

The NVIDIA RTX 4090 is a consumer-segment GPU built on the Ada Lovelace architecture, available for rent on ONIE. It features 24 GB of VRAM, about 81.4 TFLOPS of standard floating-point compute, and a memory bandwidth of about 879 GB/s. With CUDA compute capability 8.9 and a 450 W power profile, it handles demanding AI and graphics workloads.

Спецификации

VRAM на GPU

24 GB

Архитектура

NVIDIA Ada Lovelace

Изчислителна способност

8.9

FP32 изчисления

≈ 81.4 TFLOPS

Пропускателна способност на паметта

≈ 879 GB/s

Лимит на мощността

450 W

Стойностите са предоставени от доставчика на инфраструктурата за машините, които са в момента в списъка; реалната производителност варира в зависимост от машината.

Налични конфигурации

Наличността и цените са в реално време и се обновяват непрекъснато. Крайната цена се потвърждава, преди да поръчате.

Зареждане на цените в реално време…

За какво е подходящ RTX 4090

Local LLM Inference

Run quantized large language models using pre-configured vLLM or Ollama templates within the 24 GB VRAM capacity.

Image Generation and Diffusion

Deploy ComfyUI workflows for high-resolution image synthesis powered by Ada Lovelace compute.

Deep Learning Prototyping

Train and fine-tune medium-sized neural networks using the PyTorch/CUDA template with about 879 GB/s of memory bandwidth.

Graphics Rendering and Simulation

Execute ray-traced rendering and physics simulations utilizing about 81.4 TFLOPS of compute performance.

Подходящ ли е този GPU за вас?

Choose the RTX 4090 when your workloads need strong Ada Lovelace compute and fit comfortably inside 24 GB of memory. Opt for a smaller consumer GPU for lightweight inference to reduce costs, or step up to a workstation or datacenter GPU when training models that require more than 24 GB of VRAM.

Сравнете с подобни GPU

GPUVRAM на GPUАрхитектураFP32 изчисленияОт / часПодробности
RTX 409024 GBAda Lovelace≈ 81.4 TFLOPS—
RTX 6000Ada48 GBAda Lovelace≈ 81.4 TFLOPS—Подробности
RTX 509032 GBBlackwell≈ 107.6 TFLOPS—Подробности
RTX 5090D32 GBBlackwell≈ 107.6 TFLOPS—Подробности

Често задавани въпроси

Is the RTX 4090 suitable for LLM inference and fine-tuning?

Yes, the 24 GB of VRAM and about 879 GB/s of memory bandwidth make it well-suited for serving small to medium language models and running parameter-efficient fine-tuning. If your model weights and context window exceed 24 GB, you will need a workstation or datacenter GPU with a larger memory capacity.

How do I connect to the RTX 4090 instance and what software is included?

You can connect directly to your instance via SSH access. ONIE provides ready templates including PyTorch/CUDA, vLLM, Ollama, and ComfyUI so you can start working with CUDA compute capability 8.9 right away.

How does the RTX 4090 compare to workstation or datacenter GPUs?

As a consumer-segment card with a 450 W thermal design power, the RTX 4090 delivers high compute density at about 81.4 TFLOPS. However, it caps at 24 GB of VRAM, whereas higher-tier workstation and datacenter GPUs offer larger memory pools for massive datasets.

How does billing work for renting the RTX 4090?

ONIE uses per-hour billing for all GPU rentals. You only pay for the time your instance is active.

Наемете RTX 4090 на час

Създайте акаунт, изберете конфигурация и се свържете през SSH. Таксуването спира, когато изтриете GPU-то.

Наемете RTX 4090

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