NVIDIA Tesla P40 · 24GB VRAM

Server GPU di allenamento AI/ML

Addestrare modelli di apprendimento profondo con hardware dedicato NVIDIA GPU. Da LLM di fine-tuning a modelli di formazione di visione computerizzata da zero.

$ pip install torch transformers datasets accelerate && python train.py
# Esecuzione su NVIDIA Tesla P40 (24GB)
Pronti. _

Che cos'è {nome} su un VPS GPU?

I modelli di formazione AI richiedono un massiccio calcolo parallelo che le GPU forniscono. Un server di formazione GPU ti dà hardware dedicato NVIDIA per formare modelli senza competere per le risorse.

Perché {nome} su VPS.org GPU

GPU dedicata

GPU completa Tesla P40 con VRAM 24GB. Nessuna risorsa condivisa o strozzata.

Quadro Agnostico

PyTorch, TensorFlow, JAX o qualsiasi framework compatibile con CUDA.

Conservazione persistente

Archiviazione SSD per set di dati, checkpoint e artefatti di modelli.

Accesso SSH

Accesso root completo. Configura il tuo ambiente di allenamento esattamente come ne hai bisogno.

Casi di utilizzo popolari {nome}

Modello di messa a punto
Trasferire l'apprendimento
Addestramento personalizzato dei modelli
Regolazione dell'iperparametro
Preelaborazione di set di dati
Formazione distribuita

Specifiche GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Core CUDA3,840
32° PQ12 TFLOPS
INT847 TOPS
Memoria BW346 GB/s
ArchitetturaPascal (GP102)
PassaggioPCI Bare-metal

Domande frequenti

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.

Pronto per eseguire {nome} sulla GPU?

Distribuisci un server dedicato NVIDIA GPU in pochi minuti. Nessuna prenotazione, nessuna chiamata di vendita.

Lancia il tuo VPS
Da $ 2,0/mo