NVIDIA Tesla P40 · 24GB VRAM

Executați Ollama pe un VPS GPU

Desfășoară LLM-uri de sursă deschisă precum LLAMA, Mistral și Gemma pe hardware NVIDIA GPU dedicat. Accelerarea GPU completă cu 24GB VRAM pentru inferință rapidă.

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

Ce este {nume} pe un VPS GPU?

Ollama este un cadru ușor pentru rularea de modele de limbaj mari local. Cu un GPU VPS, dețineți hardware NVIDIA dedicat pentru a rula modele cum ar fi LLAMA 3, Mistral, Gemma, Phi, și mai mult cu performanță maximă.

De ce {nume} pe VPS.org GPU

Execută orice LLM cu sursă deschisă

Desfășoară LLAMA 3, Mistral, Gemma, Phi, CodeLlama și alte sute de modele cu o singură comandă.

24GB VRAM

Executați modele de parametri 13B confortabil sau cuantizate modele 70B pe Tesla P40 GPU.

Privat și securizat

Datele tale nu părăsesc niciodată serverul tău. Controlul complet asupra infrastructurii de IA.

API compatibilă

API OpenAI-compatibil cu exteriorul cutiei. Drop-in înlocuitor pentru orice client OpenAI.

Cazuri de utilizare populare {nume}

Alternativă privată ChatGPT
Unelte interne alimentate cu IA
Cereri RAG
API de generare de cod
Conținutul creării conductelor
Backend-uri Chatbot

Specificații GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Cores CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Memorie BW346 GB/s
ArhitecturăPascal (GP102)
Pass-throughPCI-metal ușor

Întrebări frecvente

What is Ollama on a GPU VPS?

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Ollama on a GPU VPS is a CUDA-accelerated deployment. Ollama is primarily an LLM-inference / chat workload. You will want fast random-access reads from disk to memory and enough VRAM for the model plus context window.

How do I set up Ollama 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 Ollama environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Ollama?

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LLM inference VRAM scales with model parameters. A 7B model needs ~5-8 GB VRAM, 13B ~10-14 GB, 70B requires multi-GPU or quantization. Our 24 GB Tesla P40 comfortably runs 7B-13B models at full precision and 30B-class models with INT8 quantization.

Is Ollama 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 Ollama?

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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 Ollama.

Do I get full root on the Ollama GPU VPS?

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

Which CUDA version is installed for Ollama?

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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 Ollama workload.

Does my Ollama GPU VPS persist between sessions?

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Yes — your Ollama 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 Ollama workload?

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

Can I scale my Ollama 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 Ollama 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 Ollama 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 Ollama on a GPU VPS risk-free.

Gata pentru a rula {nume} pe GPU?

Depune un server NVIDIA GPU dedicat în câteva minute. Fără rezervări, fără apeluri de vânzare.

Lansați VPS-ul
De la $2.0/mo