NVIDIA Tesla P40 · 24GB VRAM

Execute LLaMA nun VPS con GPU

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

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

Que é LLaMA nun VPS con GPU?

LLaMA (Large Language Model Meta AI) é a familia de modelos de linguaxe grandes de código aberto de Meta. Executar LLaMA nun VPS con GPU dáche acceso privado e sen restricións á poderosa IA de linguaxe.

Por que LLaMA en VPS.org GPU

Preparado para LLaMA 3

Execute LLaMA 3 8B a precisión total ou 70B cuantizado con 24GB de VRAM.

Despliegue privado

Os seus avisos e datos permanecen no servidor. Non hai chamadas a API de terceiros.

Múltiplos formatos

Soporte para formatos GGUF, GPTQ, AWQ e PyTorch nativo.

Compatible con OpenAI

Servir a través de vLLM ou Ollama para substituír a API OpenAI.

Casos de uso populares de LLaMA

Asistente privado de IA
Análise do documento
Xeración de código
Escritura de contido
Bots de soporte ao cliente
Aplicacións de IA empresarial

Especificacións da GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Cores CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Memoria BW346 GB/s
ArquitecturaPascal (GP102)
TransmisiónPCIe 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 executar LLaMA na GPU?

Despliegue un servidor dedicado de GPU NVIDIA en minutos. Sen reservas, sen chamadas de vendas.

Inicie o seu VPS
Desde $2.0/mes