NVIDIA Tesla P40 · 24GB VRAM

ຄອມພິວເຕີ

ປະຕິບັດການກວດພົບສິ່ງຂອງ, ການຈັດປະເພດຮູບພາບ, ແລະ ການວິເຄາະວິດີໂອໃນ NVIDIA GPU ທີ່ອຸທິດຕົນ. YOLO, OpenCV CUDA, ແລະ ແບບ ຈຳ ລອງການເບິ່ງເຫັນແບບ Custom.

$ pip install ultralytics && yolo detect predict model=yolov8x.pt source=image.jpg device=0
# ແລ່ນຢູ່ເທິງ NVIDIA Tesla P40 (24GB)
​ພ້ອມ​ແລ້ວ _

ຫຍັງຄື {ຊື່} ຢູ່ໃນ GPU VPS?

ຄອມພິວເຕີ Vision on GPU VPS ໃຫ້ທ່ານມີ NVIDIA ອຸປະກອນຮາດແວທີ່ອຸທິດຕົນສໍາລັບການກວດພົບຕົວອັກສອນເວລາຈິງ, ການແບ່ງປະເພດຮູບພາບ, ການແບ່ງສ່ວນ, ແລະ ການວິເຄາະວິດີໂອໃນຂະ ໜາດ ການຜະລິດ.

ເຮັດ​ຫຍັງ {ຊື່} ຢູ່ໃນ VPS.org GPU

ການກວດພົບ​ເວລາ​ຈິງ

ແລ່ນ YOLO ແລະ ຕົວກວດພົບອື່ນໆທີ່ 30+ FPS ເທິງ GPU ທີ່ອຸທິດຕົນ.

CUDA OpenCV

ການ​ປະມວນຜົນ​ຮູບພາບ​ທີ່​ໃຊ້​ຄວາມ​ໄວ​ຮາດ​ແວ​ກັບ OpenCV.

ການ​ປະມວນຜົນ​ຫຼາຍ​ຄັ້ງ

24GB VRAM ສຳ ລັບການປະມວນຜົນຊຸດຂໍ້ມູນຮູບພາບທີ່ມີຄວາມລະອຽດສູງ.

ການວິເຄາະ​ວິດີໂອ

ຈັດການ​ສົດ​ວິດີໂອ​ຫຼາຍໆ​ສາຍ​ພ້ອມໆກັນ

ຕົວຢ່າງການໃຊ້ທີ່ນິຍົມ {ຊື່}

APIs ກວດພົບ​ສິ່ງ​ຂອງ
ກວດສອບຄຸນນະພາບ
ການວິເຄາະ​ກ້ອງ​ຄວາມປອດໄພ
ການວິເຄາະຮູບພາບທາງການແພດ
ລະບົບ​ທີ່​ມີ​ອິດ​ທິ​ພົນ​ເອງ
OCR ຕາມ​ຂະ​ໜາດ

ຄຸນ​ສົມບັດ​ຂອງ GPU

​GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
ពណ៌ CUDA3,840
FP32 ​12 TFLOPS
INT847 TOPS
​ຄວາມ​ຈຳ​ສີ​ຂາວ346 GB/s
ສະຖາປັດຕະຍະກໍາPascal (GP102)
ຜ່ານPCIe ແບບ​ບໍ່​ມີ​ໂລຫະ

ຄໍາຖາມທີ່ຖາມເລື້ອຍໆ

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.

ແລ້ວ​ຈະ​ແລ່ນ {ຊື່} ເທິງ GPU ບໍ?

ຈັດການກັບ NVIDIA GPU ສະເພາະໃນນາທີ. ບໍ່ມີການຈອງ, ບໍ່ມີການໂທຂາຍ.

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