NVIDIA Tesla P40 · 24GB VRAM

Datasyn GPU VPS

Kjør objektdeteksjon, bildeklassifisering og videoanalyse på dedikerte NVIDIA GPU. YOLO, OpenCV CUDA og selvvalgte synsmodeller.

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

Hva er {navn} på en GPU VPS?

Datasyn på GPU VPS gir deg dedikert NVIDIA-maskinvare for objektgjenkjenning i sanntid, bildeklassifisering, segmentering og videoanalyse i produksjonsskala.

Hvorfor {navn} på VPS.org GPU

Sanntidsdeteksjon

Kjør YOLO og andre detektorer ved 30+ FPS på egen GPU.

OpenCV CUDA

Maskinvareaccelerert bildebehandling med OpenCV.

Store satsvis prosessering

24GB VRAM for behandling av høyoppløselige bildedatasett.

Videoanalyse

Behandle flere videostrømmer samtidig.

Populære {navn} Brukstilfelle

ObjektdeteksjonsAPIer
Kvalitetskontroll
Analyse av sikkerhetskameraer
Analyse av medisinske bilder
Autonome systemer
OCR i skala

GPU-spesifikasjoner

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA-kjerner3,840
FP3212 TFLOPS
INT847 TOPS
Minne BW346 GB/s
ArkitekturPascal (GP102)
GjennomgangBare metall- PCIe

Ofte stilte spørsmål

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.

Klar til å kjøre {navn} på GPU?

Bruk en dedikert NVIDIA GPU- tjener i minutter. Ingen reservasjoner, ingen salgssamtaler.

Start din VPS
Fra $20,0/mo