NVIDIA Tesla P40 · 24GB VRAM

AI/ML-opplærings-GPU-tjener

Trene modeller for dyplæring med dedikert NVIDIA GPU-maskinvare. Fra finjusterende LLM-modeller til øvelse i datamaskinsynsmodeller fra grunnen av.

$ pip install torch transformers datasets accelerate && python train.py
# Kjøring på NVIDIA Tesla P40 (24GB)
Klar. _

Hva er {navn} på en GPU VPS?

Opplæring AI- modeller krever massive parallelle beregninger som GPU- er tilbyr. En GPU- treningstjener gir deg dedikert NVIDIA- maskinvare til å trene modeller uten å konkurrere om ressurser.

Hvorfor {navn} på VPS.org GPU

Dedikert GPU

Full Tesla P40 GPU med 24 GB VRAM. Ingen delte eller økte ressurser.

Databasediagnostikk

PyTorch, TensorFlow, JAX eller andre CUDA-kompatible rammer.

Vedvarende lagring

SSD-lagring for datasett, kontrollpunkter og modeller av artefakter.

SSH- tilgang

Full root- tilgang. Tilpass treningsmiljøet akkurat slik du trenger det.

Populære {navn} Brukstilfelle

Fininnstillingsmodell
Overfør læring
Selvvalgt modellopplæring
Hyperparameterinnstilling
Forbehandling av datasett
Distribuert opplæring

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 AI Training on a GPU VPS?

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

How do I set up AI Training on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install torch transformers datasets accelerate && python train.py. Your AI Training environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for AI Training?

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

Is AI Training 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 AI Training?

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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 AI Training.

Do I get full root on the AI Training GPU VPS?

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

Which CUDA version is installed for AI Training?

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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 AI Training workload.

Does my AI Training GPU VPS persist between sessions?

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Yes — your AI Training 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 AI Training workload?

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

Can I scale my AI Training 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 AI Training 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 AI Training 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 AI Training 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