NVIDIA Tesla P40 · 24GB VRAM

Executar LLAMA em um VPS GPU

Modelos LLAMA 3 da Meta auto-host em hardware GPU NVIDIA dedicado. Inferência privada, rápida com 24GB VRAM para modelos de parâmetros 8B e 70B.

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

O que é {nome} em um GPU VPS?

LLAMA (Large Language Model Meta AI) é a família de grandes modelos de linguagem de software aberto da Meta. Executar LLAMA em um VPS GPU dá-lhe acesso privado e ilimitado à linguagem poderosa IA.

Porquê {nome} em VPS.org GPU

LLAMA 3 Pronto

Execute LLAMA 3 8B com precisão total ou 70B quantificado com 24GB VRAM.

Desenvolvimento privado

Seus pedidos e dados permanecem em seu servidor. Nenhuma chamada API de terceiros.

Múltiplos formatos

Suporte para os formatos GGUF, GPTQ, AWQ e nativo PyTorch.

OpenAI-Compatível

Servir via vLLM ou Ollama para a substituição da API drop-in OpenAI.

Processos de uso populares {nome}

Assistente privado de IA
Análise de documentos
Produção de código
Escrita de conteúdo
Bots de suporte ao cliente
Aplicações de IA empresariais

Especificações da GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Núcleos CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Memória BW346 GB/s
ArquiteturaPascal (GP102)
PassagemPCIe-metal

Perguntas Frequentes

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.

Pronto para executar {nome} na GPU?

Desenvolva um servidor NVIDIA GPU dedicado em minutos. Sem reservas, sem chamadas de venda.

Lançar o seu VPS
A partir de $2.0/mo