NVIDIA Tesla P40 · 24GB VRAM

Компютърна визия GPU VPS

Стартиране на откриване на обекти, класификация на изображения и видео анализ на специализирани NVIDIA GPU. YOLO, OpenCV CUDA и модели за визия.

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

Какво е {име} на GPU VPS?

Компютърното зрение на GPU VPS ви дава специализиран NVIDIA хардуер за откриване на обекти в реално време, класификация на изображения, сегментация и видео анализ в производствен мащаб.

Защо {име} на VPS.org ГПУ

Откриване в реално време

Пуснете YOLO и други детектори на 30+ FPS на специален GPU.

OpenCV CUDA

Хардуерно-ускорена обработка на изображения с OpenCV.

Голяма партидна обработка

24GB VRAM за обработка на данни от високоразпределение.

Видеоанализ

Обработване на множество видео потоци едновременно.

Популярни {име} Случаи на употреба

API за откриване на обекта
Инспекция на качеството
Аналитици на охранителната камера
Медицински анализ на изображенията
Автономни системи
ОРС в мащаб

Спецификации на GPU

ГПУNVIDIA Tesla P40
ВРАМ24 GB GDDR5X
Ядра на КУДА3,840
ФП3212 TFLOPS
INT847 TOPS
Памет BW346 GB/s
АрхитектураPascal (GP102)
ПреминаванеБареметалов PCIe

Често задавани въпроси

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.

Готов ли си да изпълниш {име} на GPU?

Пригответе специален сървър на NVIDIA GPU в минути. Без резервации, без обаждания за продажба.

Пуснете Вашия VPS
От $ 2.0/mo