NVIDIA Tesla P40 · 24GB VRAM

VPS компьютерного видения GPU

Запустите обнаружение объектов, классификацию изображений и видеоанализ на специализированных GPU NVIDIA. YOLO, OpenCV CUDA и заказные модели зрения.

$ pip install ultralytics && yolo detect predict model=yolov8x.pt source=image.jpg device=0
# Работает на NVIDIA Tesla P40 (24GB)
Готов. _

Что такое GPU VPS?

Компьютерное зрение на GPU VPS дает вам специальное оборудование NVIDIA для обнаружения объектов в режиме реального времени, классификации изображений, сегментации и видеоанализа в производственном масштабе.

Почему {имя} на VPS.org GPU

Обнаружение в реальном масштабе времени

Запусти YOLO и другие детекторы на 30+ FPS на специализированном GPU.

Центр < < Открытый CV > >

Аппаратная обработка изображений с OpenCV.

Обработка крупных партий

24GB VRAM для обработки наборов изображений с высоким разрешением.

Видеоанализ

Обработать несколько потоков видео одновременно.

Популярные случаи использования {имя}

ИПЦ обнаружения объекта
Проверка качества
Анализы камер видеонаблюдения
Медицинский анализ изображений
Автономные системы
ОЦР в масштабе

Спецификации GPU

ГПУNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA Kopes3,840
РП3212 TFLOPS
INT847 TOPS
Память346 GB/s
АрхитектураPascal (GP102)
ПроходБрюшная металлургическая PCIe

Часто задаваемые вопросы

What is Computer Vision on a GPU VPS?

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Computer Vision on a GPU VPS is a CUDA-accelerated deployment. Computer Vision is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for Computer Vision.

How do I set up Computer Vision on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install ultralytics && yolo detect predict model=yolov8x.pt source=image.jpg device=0. Your Computer Vision environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Computer Vision?

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Our GPU VPS ships with 24 GB GDDR5X VRAM on the NVIDIA Tesla P40, which is sufficient for most Computer Vision workloads. Multi-GPU configurations are available on request.

Is Computer Vision GPU VPS billed hourly or monthly?

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GPU VPS plans are billed monthly with no lock-in contracts and can be cancelled anytime. Contact us for current GPU pricing tiers.

Can I run other tools alongside Computer Vision?

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Yes — you have full root on the GPU VPS. Run whatever fits inside the 24 GB VRAM and the available RAM / storage budget alongside Computer Vision.

Do I get full root on the Computer Vision GPU VPS?

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Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for Computer Vision however you need.

Which CUDA version is installed for Computer Vision?

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GPU VPSs ship with a recent CUDA runtime and the matching NVIDIA driver pre-installed. You can pin or upgrade CUDA versions as required by your Computer Vision workload.

Does my Computer Vision GPU VPS persist between sessions?

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Yes — your Computer Vision GPU VPS is a long-running persistent server, not an ephemeral instance. Models, configs, and data stay on the SSD between sessions.

Where should I store data for my Computer Vision workload?

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Keep working data on the VPS SSD for fast access during Computer Vision runs; back up finished artifacts (weights, generations, embeddings) off-server via snapshots or object storage for safety.

Can I scale my Computer Vision GPU VPS later?

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Yes — plan upgrades are instant from your control panel; the GPU itself can be swapped to a larger tier on request. Your Computer Vision install carries over.

Are backups available for my GPU VPS?

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Yes. Automated daily backups are an add-on; manual snapshots are free. Useful for long Computer Vision training runs where you want a checkpointable server state.

Is there a money-back guarantee on the GPU VPS?

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Yes — 30-day money-back guarantee on every plan including GPU. Try Computer Vision on a GPU VPS risk-free.

Готовы запустить GPU?

Развертывать специальный сервер NVIDIA GPU в минутах.

Запустить VPS
От 2,0 долл. США/мо