NVIDIA Tesla P40 · 24GB VRAM

Servidor GPU de capacitación AI/ML

Entrena modelos de aprendizaje profundo con hardware NVIDIA GPU dedicado. Desde LLMs de ajuste fino hasta modelos de visión computarizada de entrenamiento desde cero.

$ pip install torch transformers datasets accelerate && python train.py
# Correr en NVIDIA Tesla P40 (24GB)
Listo. _

¿Qué es {nombre} en un VPS GPU?

Los modelos de entrenamiento de IA requieren cálculos paralelos masivos que las GPU proporcionan. Un servidor de entrenamiento de GPU le proporciona hardware NVIDIA dedicado para entrenar modelos sin competir por recursos.

¿Por qué {nombre} en VPS.org GPU

GPU dedicada

GPU completa Tesla P40 con 24 GB de VRAM. No hay recursos compartidos o estrangulados.

Marco Agnóstico

PyTorch, TensorFlow, JAX, o cualquier marco compatible con CUDA.

Almacenamiento persistente

Almacenamiento SSD para conjuntos de datos, puntos de control y artefactos de modelos.

Acceso SSH

Acceso raíz completo. Configure su entorno de entrenamiento exactamente cómo lo necesita.

Casos de uso {nombre} populares

Afinación del modelo
Transferencia de aprendizaje
Formación de modelos personalizados
Ajuste del hiperparametro
Preprocesamiento del conjunto de datos
Capacitación distribuida

Especificaciones de la GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Núcleos CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Memoria BW346 GB/s
ArquitecturaPascal (GP102)
Paso a pasoPCIe de metal desnudo

Preguntas frecuentes

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.

¿Listo para ejecutar {nombre} en GPU?

Implementar un servidor NVIDIA GPU dedicado en minutos. Sin reservas, sin llamadas de ventas.

Lanzar su VPS
A partir de $2,0/mes