NVIDIA Tesla P40 · 24GB VRAM

Executeu LLaMA en un vicepresident de la GPU

La meta-ordinador LLaMA 3 models sobre el maquinari de la GPU dedicat a NVIDIA.

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

Què és el LLaMA en un vicepresident de la GPU?

LLaMA (Large Language Model MetaAI) és la família de Meta- fonts de grans models d' idioma. S' està executant LLaMA en un director de GPU, us dóna accés privat i innecessives a l' intel· ligència potent.

Why LLaMA on VPS.org GPU

LLaMA 3 preparat

Executeu LLaMA 3 8B a una precisió completa o 70B quanmatitzat amb 24GBRAM.

Grup privada

Els vostres extractes i dades segueixen en el vostre servidor. No hi ha trucades API de tercers.

Formats múltiples

Implementació per als formats GGUF, GPTQ, AWQ, i natius PyToch.

OpenAI-Compatible

Serve via vLLM o Ollama per tal de deixar caure en la substitució de l' API OpenAI.

Casos d' ús famosos LLaMA

Assistent de la IA privada
Anàlisi del document
Generació de codi
Escriptura de contingut
Els robots de suport a mida
Aplicacions de la IA Enterprise

Especificacions de la GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA Cores3,840
FP3212 TFLOPS
INT847 TOPS
Memòria BW346 GB/s
ArquitecturaPascal (GP102)
PassatBare- metàl· lic PCIe

Preguntes més freqüents

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.

A punt per executar LLaMA a la GPU?

Deploy un servidor de la GPU de la NVIDIA dedicat en minuts. No hi ha reserves, ni trucades de vendes.

Inicieu els vostres directors.
Des de $2. 0/mo