NVIDIA Tesla P40 · 24GB VRAM

Tieteellinen tietojenkäsittelyjärjestelmä (GPU VPS)

Nopeuta tieteellisiä simulaatioita ja HPC:n työmääriä erityisellä NVIDIA GPU -laitteistolla. CUDA ja OpenCL valmiina.

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

Mitä {nimi} on GPU:n VPS:ssä?

GPU VPS:n tieteellinen laskenta kannustaa NVIDIA CUDA -ytimiä massiiviseen rinnakkainasetteluun. Suorita molekyylidynamiikkaa, ilmastomalleja, CFD-simulaatioita ja muita HPC-työmääriä nopeammin kuin CPU-klustereissa.

Miksi {nimi} VPS.org GPU:ssa

CUDA & OpenCL

Täysi tuki CUDA:n ja OpenCL:n tieteellisille laskentakehyksille.

3 840 CUDA-ydintä

Simulaatiotyömäärien laaja-alainen rinnakkaiskäsittely.

12 TFLOPS FP32

Numeerisen tietojenkäsittelyn korkea yksitarkkuus.

Pysyvä ympäristö

Pidä tutkimusympäristö käynnissä 24/7.

Suosittuja {nimi} Käytä tapauksia

Molekyylidynamiikka (GROMACS)
Ilmastomallinnus
Nestedynamiikka (CFD)
Genomian analyysi
Fysiikan simulaatiot
Rahoitusmallintaminen

GPU-erittelyt

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA-ytimet3,840
FP3212 TFLOPS
INT847 TOPS
Muisti BW346 GB/s
ArkkitehtuuriPascal (GP102)
LäpikulkuPaljasmetallinen PCIe

Usein kysyttyjä kysymyksiä

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.

Oletko valmis ajamaan {nimeä} GPU:lla?

Ota käyttöön NVIDIA GPU -palvelin minuuteissa. Ei varauksia, ei myyntipuheluita.

Käynnistä VPS
Alkaen $2,0/mo