NVIDIA Tesla P40 · 24GB VRAM

Computer Vision GPU VPS

Start objectdetectie, beeldclassificatie en video-analyse op dedicated NVIDIA GPU. YOLO, OpenCV CUDA, en aangepaste visie modellen.

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

Wat is {naam} op een GPU VPS?

Computervisie op GPU VPS geeft u speciale NVIDIA hardware voor real-time objectdetectie, beeldclassificatie, segmentatie en video-analyse op productieschaal.

Waarom {naam} op VPS.org GPU

Real-time detectie

Start YOLO en andere detectoren bij 30+ FPS op dedicated GPU.

OpenCV CUDA

Hardware-versnelde beeldverwerking met OpenCV.

Grote batchverwerking

24GB VRAM voor het verwerken van hoge resolutie beelddatasets.

Video-analytics

Bewerk meerdere videostreams tegelijkertijd.

Popular Computer Vision Cases gebruiken

API's voor objectdetectie
Kwaliteitscontrole
Analyse van beveiligingscamera's
Medische beeldanalyse
Autonome systemen
OCR op schaal

GPU Specificaties

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA-kernen3,840
KP3212 TFLOPS
INT847 TOPS
Geheugen BW346 GB/s
ArchitectuurPascal (GP102)
DoorvoerenBare-metal PCIe

Veelgestelde vragen

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.

Klaar om Computer Vision op GPU uit te voeren?

Stel een NVIDIA GPU server in in enkele minuten. Geen reserveringen, geen verkoopgesprekken.

Start uw VPS
Van $2,0/mo