NVIDIA Tesla P40 · 24GB VRAM

Trčanje Ollama na GPU VPS

Pokrenite otvoreni LLMs kao što su LLAMA, Mistral i Gemma na posvećenom NVIDIA GPU hardveru. Puni GPU ubrzanje s 24GB VRAM za brzo zaključak.

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

Što je {ime} na GPU VPS?

Ollama je lagani okvir za pokretanje velikih jezičnih modela lokalno. S GPU VPS, dobivate posvećeni NVIDIA hardver za pokretanje modela poput LLAMA 3, Mistral, Gemma, Phi, i više s maksimalnom performansom.

Zašto {ime} na VPS.org GPU

Pokreni bilo koji otvoreni izvor LLM

Pokreni LLAMA 3, Mistral, Gemma, Phi, CodeLlama, i stotine drugih modela s jednom zapovjednicom.

24GB VRAM

Pokrenite modele parametara 13B udobno ili kvantizirane modele 70B na Tesli P40 GPUs.

Privatno & osigurano

Podaci nikad ne ostavljaju poslužitelj.

API kompatibilan

OpenAI kompatibilan API iz kutije. Drop-in zamjena za svakog OpenAI klijenta.

Popularne {ime} Slučaji korištenja

Privatna opcija ChatGPT
Unutarnji alati na AI pogon
RAG aplikacije
API za generiranje koda
Cevovodi za stvaranje sadržaja
Chatbot pozadine

GPU specifikacije

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA jezgre3,840
FP3212 TFLOPS
INT847 TOPS
Memorija BW346 GB/s
ArhitekturaPascal (GP102)
ProlazPCIe od borovog metala

Česta pitanja

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.

Spreman za pokretanje {ime} na GPU?

Pokrenite posvećeni NVIDIA GPU poslužitelj u minutama. Bez rezervacije, bez prodajnih poziva.

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