NVIDIA Tesla P40 · 24GB VRAM

Komputila vidkapablo

Lanĉi objekt-detekton, bild-klasifikadon, kaj video-analizon sur dediĉita NVIDIA-grafika procesoro. YOLO, OpenCV CUDA, kaj propraj vidmodeloj.

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

88000 estas la nombro de la 88-bita procesoro de Intel.

Komputila vidkapablo sur GPU VPS donas al vi dediĉitan NVIDIA-hardvaron por realtempa detekto de objektoj, bildklasigado, segmentado kaj videoanalizo je produkta skalo.

Kial Computer Vision sur VPS.org GPU

Realtempa detekto

Ruli YOLO kaj aliajn detektilojn je 30+ FPS sur dediĉita GPU.

OpenCV CUDA

La bildo estas prilaborita per OpenCV.

Granda batch- prilaborado

24-bita algoritmo por la prilaborado de bildoj.

Videoanalizo

Procezi plurajn videofluojn samtempe.

Popularaj Computer Vision uzkazoj

APIoj por detekti objektojn
Kvalita kontrolo
Analizo de sekureckamerao
Medicina bildanalizo
Aŭtonoma sistemo
OCR ĉe skalo

GPU- specifoj

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA koloroj3,840
FP3212 TFLOPS
INT847 TOPS
Memoro BL346 GB/s
ArkitekturoPascal (GP102)
TrapasoNuda metala PCIe

Oftaj demandoj

What is Computer Vision on a GPU VPS?

+

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?

+

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?

+

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?

+

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?

+

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?

+

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?

+

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?

+

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?

+

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?

+

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?

+

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?

+

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

Ĉu vi pretas ruli Computer Vision sur GPU?

Disvastigu dediĉitan NVIDIA-GPU-servilon en minutoj. Neniu rezervo, neniu venda telefono.

Lanĉi vian VPS
De $2.0/mo