NVIDIA Tesla P40 · 24GB VRAM

Vitenskapelig databehandling av GPU VPS

Akselerer vitenskapelige simuleringer og HPC-belastninger med dedikert NVIDIA GPU- maskinvare. CUDA og OpenCL klar.

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

Hva er {navn} på en GPU VPS?

Vitenskapelig databehandling på GPU VPS gir NVIDIA CUDA- kjerner mulighet for massiv parallellisme. Kjør molekylær dynamikk, klimamodeller, CFD- simuleringer og andre HPC- belastninger raskere enn på CPU- klynger.

Hvorfor {navn} på VPS.org GPU

CUDA & OpenCL

Full støtte for CUDA og OpenCL vitenskapelige databehandlingsrammer.

3,840 CUDA-kjerner

Massiv parallellbehandling for simuleringsbelastninger.

12 TFLOPS FP32

Høy ytelse ved enkeltpresisjon for numerisk databehandling.

Vedvarende miljø

Hold forskningsmiljøet i gang 24/7.

Populære {navn} Brukstilfelle

Molekyldynamikk (GROMACS)
Klimamodellering
Væskedynamikk (CFD)
genomikkanalyse
Fysikksimuleringer
Finansiell modellering

GPU-spesifikasjoner

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA-kjerner3,840
FP3212 TFLOPS
INT847 TOPS
Minne BW346 GB/s
ArkitekturPascal (GP102)
GjennomgangBare metall- PCIe

Ofte stilte spørsmål

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.

Klar til å kjøre {navn} på GPU?

Bruk en dedikert NVIDIA GPU- tjener i minutter. Ingen reservasjoner, ingen salgssamtaler.

Start din VPS
Fra $20,0/mo