NVIDIA Tesla P40 · 24GB VRAM

Vísindaleg tölvunarfræði GPU VPS

Flýta vísindalegum eftirlíkingum og HPC vinnuálagi með hollur NVIDIA GPU vélbúnaður. CUDA og OpenCL tilbúinn.

$ apt install nvidia-cuda-toolkit && nvcc --version
# Keyrir á NVIDIA Tesla P40 (24GB)
Tilbúinn. _

Hvað er Scientific Computing á GPU VPS?

Vísindaleg tölvunarfræði á GPU VPS nýtir NVIDIA CUDA kjarna fyrir mikla samhliða.Kykktu á sameindahreyfingum, loftslagslíkön, CFD uppgerð og önnur HPC vinnuálag hraðar en á CPU þyrpingum.

Af hverju Scientific Computing á VPS.org GPU

CUDA og OpenCL

Fullur stuðningur við CUDA og OpenCL vísindaleg computing ramma.

3, 840 CUDA kjarnar

Mikil samhliða vinnsla fyrir uppgerð vinnuálag.

12 TFLOPS FP32

Hár einn-nákvæmni árangur fyrir tölfræðilega computing.

Varanlegt umhverfi

Haltu rannsóknarumhverfinu þínu í gangi 24/7.

Vinsælt Scientific Computing notkunartilvik

Sameindafræði (GROMACS)
Loftslagslíkan
Vökvafræði (CFD)
Genafræðileg greining
Eðlisfræðileg eftirlíkingu
Fjárhagsleg líkangerð

GPU forskriftir

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA litir3,840
FP3212 TFLOPS
INT847 TOPS
Minni346 GB/s
ArkitektúrPascal (GP102)
PassthroughBare- metal PCIe

Algengar spurningar

What is Scientific Computing on a GPU VPS?

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Scientific Computing on a GPU VPS is a CUDA-accelerated deployment. Scientific Computing is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for Scientific Computing.

How do I set up Scientific Computing on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run apt install nvidia-cuda-toolkit && nvcc --version. Your Scientific Computing environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Scientific Computing?

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Our GPU VPS ships with 24 GB GDDR5X VRAM on the NVIDIA Tesla P40, which is sufficient for most Scientific Computing workloads. Multi-GPU configurations are available on request.

Is Scientific Computing 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 Scientific Computing?

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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 Scientific Computing.

Do I get full root on the Scientific Computing GPU VPS?

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Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for Scientific Computing however you need.

Which CUDA version is installed for Scientific Computing?

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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 Scientific Computing workload.

Does my Scientific Computing GPU VPS persist between sessions?

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Yes — your Scientific Computing 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 Scientific Computing workload?

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Keep working data on the VPS SSD for fast access during Scientific Computing runs; back up finished artifacts (weights, generations, embeddings) off-server via snapshots or object storage for safety.

Can I scale my Scientific Computing 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 Scientific Computing 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 Scientific Computing 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 Scientific Computing on a GPU VPS risk-free.

Tilbúinn að keyra Scientific Computing á GPU?

Dreifa hollur NVIDIA GPU miðlara í mínútum. Engar fyrirvara, engin sölu símtöl.

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