NVIDIA Tesla P40 · 24GB VRAM

Lëscht vun de lëtzebuergesche Vëlossportler

Trainéiert Neural Netzwierker op dedizéierter NVIDIA GPU Hardware. CNNs, Transformers, GANs, an all Deep Learning Architektur mat voller CUDA Ënnerstëtzung.

$ pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())"
# D'Gréisst vum Stär ass 40 Liichtjoer (24 pc).
Bereet. _

8800 ass e Véierelsjoer am Gregorianesche Kalenner.

D'Grupp huet sech an der Zäit vun der Geschicht vun der Astronomie als eng vun de wichtegsten a wichtegsten Gruppéierunge vun der Astronomie bezeechent, déi sech op d'Entdeckung vun neie Stären a Stäresystemer spezialiséiert huet.

Why Deep Learning on VPS.org GPU

All Framework

Et gëtt och nach d'Grupp vun de 100, 1000, 10, 10, 100, 1000

Schnell Iteratioun

D'Grupp huet sech op d'Recherche an d'Reproduktioun spezialiséiert.

Grouss Modeller

24 Joer laang huet hien d'Architektur an d'Gestaltung studéiert.

24/7 Verfügbarkeet

D'Aarbechtszäit ass no der Aarbechtszäit opgedeelt.

Popular Deep Learning Use Cases

Websäit vun der CNL
Transformatiounsmodell
GAN-Training
Lëscht vu Resistenzsportler
AutoML-Experimente
Lëscht vun de Neuralnetzwierker

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 Deep Learning on a GPU VPS?

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

How do I set up Deep Learning on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())". Your Deep Learning environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Deep Learning?

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

Is Deep Learning 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 Deep Learning?

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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 Deep Learning.

Do I get full root on the Deep Learning GPU VPS?

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

Which CUDA version is installed for Deep Learning?

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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 Deep Learning workload.

Does my Deep Learning GPU VPS persist between sessions?

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Yes — your Deep Learning 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 Deep Learning workload?

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

Can I scale my Deep Learning 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 Deep Learning 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 Deep Learning 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 Deep Learning on a GPU VPS risk-free.

Deep Learning op enger GPU auszeféieren?

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