Вход
GPU Cloud · NVIDIA · Maxwell

Наемете NVIDIA GTX TITAN X GPU на почасова база

The NVIDIA GTX TITAN X is a Maxwell-architecture consumer GPU available for rental on ONIE. It offers 12 GB of VRAM, about 6.8 TFLOPS of single-precision compute, and about 239 GB/s of memory bandwidth within a 150 W power envelope. Supporting CUDA compute capability 5.2, it handles legacy GPU tasks, development, and entry-level deep learning workflows.

Наемете GTX TITAN X

Спецификации

VRAM на GPU

12 GB

Архитектура

NVIDIA Maxwell

Изчислителна способност

5.2

FP32 изчисления

≈ 6.8 TFLOPS

Пропускателна способност на паметта

≈ 239 GB/s

Лимит на мощността

150 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 GTX TITAN X

Legacy CUDA Development

Test and maintain software targeting the Maxwell architecture and CUDA compute capability 5.2.

Entry-Level Deep Learning

Run basic training and prototyping workflows in PyTorch that fit within 12 GB of VRAM.

Lightweight Model Inference

Deploy small language or vision models using templates like Ollama where moderate memory bandwidth of about 239 GB/s is sufficient.

Standard Image Generation

Execute basic diffusion pipelines in ComfyUI that require up to 12 GB of video memory without demanding modern tensor cores.

Подходящ ли е този GPU за вас?

Choose the GTX TITAN X when you need 12 GB of VRAM for development, legacy software compatibility, or light inference without paying for newer architectures. Select a smaller GPU if your workload uses minimal memory, or upgrade to a newer, larger GPU if you need modern compute capabilities and higher memory bandwidth for large-scale training.

Сравнете с подобни GPU

GPUVRAM на GPUАрхитектураFP32 изчисленияОт / часПодробности
GTX TITAN X12 GBMaxwell≈ 6.8 TFLOPS—
RTX 206012 GBTuring≈ 6.5 TFLOPS—Подробности
GTX 1070 Ti8 GBPascal≈ 7.4 TFLOPS—Подробности
RTX 2060S8 GBTuring≈ 7.5 TFLOPS—Подробности

Често задавани въпроси

Is the GTX TITAN X suitable for LLM inference and image generation?

With 12 GB of VRAM, it can hold small models for inference in Ollama or basic pipelines in ComfyUI. However, because it uses the older Maxwell architecture with compute capability 5.2 and about 6.8 TFLOPS of single-precision performance, generation will be slower than on newer GPUs.

Does this GPU support modern frameworks like PyTorch and vLLM?

ONIE provides ready templates for PyTorch/CUDA, vLLM, Ollama, and ComfyUI. Because the GTX TITAN X is a Maxwell-generation card with compute capability 5.2, some newer software features or quantization methods in tools like vLLM may require a GPU with a newer architecture.

How does the GTX TITAN X compare to smaller or larger GPUs?

Its 12 GB of VRAM provides more room for data and weights than smaller entry-level consumer cards. Compared to newer workstation or datacenter GPUs, its about 239 GB/s of memory bandwidth and Maxwell architecture make it better suited for light tasks rather than heavy production workloads.

How do billing and access work on ONIE?

Rentals are billed on a per-hour basis while your instance is active. You can connect directly to your environment via SSH access or launch pre-configured templates straight from the dashboard.

Наемете GTX TITAN X на час

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

Наемете GTX TITAN X

Всички GPU →