NVIDIA Tesla P40 · 24GB VRAM

Lëscht vun de lëtzebuergesche Vëlossportler

Beschleunegt wëssenschaftlech Simulatiounen an HPC-Aarbechtsbelaaschtungen mat dedizéierter NVIDIA GPU Hardware. CUDA an OpenCL fäeg.

$ apt install nvidia-cuda-toolkit && nvcc --version
# D'Gréisst vum Stär ass 40 Liichtjoer (24 pc).
Bereet. _

8800 ass e Véierelsjoer am Gregorianesche Kalenner.

Wëssenschaftlech Computeraarbecht op GPU VPS benotzt NVIDIA CUDA-Kerne fir massiv Parallelitéit. Lafen Molekülledynamik, Klimamodeller, CFD-Simulatiounen an aner HPC-Aarbechtsbelaaschtunge méi séier wéi op CPU-Clusteren.

Why Scientific Computing on VPS.org GPU

CUDA & OpenCL

Et gëtt och eng ganz Rei vun Open Source-Projeten.

3.840 Säiten.

Si ass eng parallelle Prozessor- a Grafikprozessor-Famill.

12 TFLOPS FP32

D'Zuel vun de Punkten ass d'Zuel vun de Punkten.

Persistent Ëmfeld

D'Spill ass 24 Stonnen den Dag, 7 Deeg d'Woch verfügbar.

Popular Scientific Computing Use Cases

Molekulare System (Molekularphysik)
Klimamodell
Fluiddynamik (CFD)
Genetesch Analys
Physiksimulatiounen
Finanzmodell

GPU Spezifikatiounen

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA-Farben3,840
Säit 3212 TFLOPS
INT847 TOPS
Speicher346 GB/s
ArchitekturPascal (GP102)
PassthroughBare-Metal PCIe

Häufig gestallte Froen

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.

Scientific Computing op enger GPU auszeféieren?

Eng dedizéiert NVIDIA GPU Server an e puer Minutten installéieren. Keng Reservatiounen, keng Verkafs-Uruff.