NVIDIA Tesla P40 · 24GB VRAM

Ejecutar LLaMA en un VPS GPU

Los modelos LLaMA 3 de Self-host Meta en hardware dedicado NVIDIA GPU. Inferencia rápida privada con 24GB VRAM para modelos de parámetros 8B y 70B.

$ curl -fsSL https://ollama.com/install.sh | sh && ollama run llama3
# Correr en NVIDIA Tesla P40 (24GB)
Listo. _

¿Qué es {nombre} en un VPS GPU?

LLaMA (Large Language Model Meta AI) es la familia de Meta de grandes modelos de lenguaje de código abierto. La ejecución de LLaMA en una GPU VPS le da acceso privado y sin restricciones a potente lenguaje AI.

¿Por qué {nombre} en VPS.org GPU

LLaMA 3 Listo

Ejecute LLaMA 3 8B con precisión total o 70B cuantificado con 24 GB de VRAM.

Despliegue privado

Sus peticiones y datos permanecen en su servidor. No hay llamadas API de terceros.

Formatos múltiples

Soporte para GGUF, GPTQ, AWQ y formatos nativos de PyTorch.

OpenAI-Compatible

Servir a través de vLLM u Ollama para el reemplazo de OpenAI API.

Casos de uso {nombre} populares

Auxiliar privado de IA
Análisis de documentos
Generación de código
Redacción de contenido
Bots de atención al cliente
Aplicaciones empresariales de IA

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 LLaMA on a GPU VPS?

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

How do I set up LLaMA on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run curl -fsSL https://ollama.com/install.sh | sh && ollama run llama3. Your LLaMA environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for LLaMA?

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

Is LLaMA 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 LLaMA?

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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 LLaMA.

Do I get full root on the LLaMA GPU VPS?

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

Which CUDA version is installed for LLaMA?

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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 LLaMA workload.

Does my LLaMA GPU VPS persist between sessions?

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Yes — your LLaMA 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 LLaMA workload?

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

Can I scale my LLaMA 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 LLaMA 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 LLaMA 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 LLaMA 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.

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A partir de $2,0/mes