Scientific Computing GPU VPS - CUDA HPC Server

Навукова-вылічальны GPU VPS

Прыгажэньне навуковых сымуляцыяў і вылічэньняў высокай эфэктыўнасьці з выкарыстаньнем спецыяльнага абсталявання NVIDIA GPU. Падтрымка CUDA і OpenCL.

1880 год — 88 двароў, 100 жыхароў.

Навукова-вылічальная праца на VPS з графічным працэсарам выкарыстоўвае ядра NVIDIA CUDA для вялікіх паралельнасцяў. Выканайце працы па дынаміцы малекул, кліматычных мадэлях, CFD-сімуляцыях і іншыя HPC-праекты хутчэй, чым на кластэрах працэсараў.

Why Scientific Computing on VPS.org GPU

CUDA і OpenCL

Падтрымка CUDA і OpenCL для навуковых вылічальных сістэм.

3840 колераў CUDA

Сістэма вымярэння часу для вымярэння часу.

12 TFLOPS FP32

Высокая дакладнасць для вылічальных сістэм.

Перыядычная асяроддзе

У 2000 годзе вёска налічвала 24 двары.

Папулярныя выпадкі выкарыстання Scientific Computing

Малекулярная дынаміка (GROMACS) Name

Кліматычныя мадэлі

Дынаміка вадкасцяў (CFD) Name

Геномны аналіз

Фізічныя сымуляцыіName

Фінансавае мадэляванне

Спецыфікацыі GPU

Графічны працэсарNVIDIA Tesla P40

ВРАМ24 GB GDDR5X

Колеры CUDA3,840

FP3212 TFLOPS

INT847 TOPS

Памяць346 GB/s

АрхітэктураPascal (GP102)

Прапускная здольнасцьPCIe з адкрытым металам

Часта задаваемыя пытанні

What is Scientific Computing on a GPU VPS?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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