NVIDIA Tesla P40 · 24GB VRAM

Poženite Ollamo na GPU VPS

Razporedite odprti vir LLMs, kot sta LLAMA, Mistral in Gemma, na specifično NVIDIA GPU strojno opremo. Celoten GPU pospešek z 24GB VRAM za hitro ugotovitev.

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

Kaj je {ime} na GPU VPS?

Ollama je lahek okvir za upravljanje velikih jezikovnih modelov lokalno. Z GPU VPS, dobite namenski NVIDIA stroj za upravljanje modelov, kot je LLAMA 3, Mistral, Gemma, Phi, in več z največjo zmogljivostjo.

Zakaj {ime} na VPS.org GPU

Poženite kateri koli odprti vir LLM

Razdeli LLAMA 3, Mistral, Gemma, Phi, CodeLlama in na stotine drugih modelov z enim poveljstvom.

24GB VRAM

Poženite modele parametrov 13B udobno ali kvantizirano 70B modele na Tesli P40 GPUs.

Zasebno in varno

Vaši podatki ne zapuščajo strežnika.

Združljiv z API

OpenAI kompatibilen API iz škatle. Drop-in zamenjava za vsakega odjemalca OpenAI.

Priljubljeno {ime} Uporabni primeri

Zasebna možnost ChatGPT
Notranja orodja na AI pogon
Vloge RAG
Izdelava kod API
Cevovodi za ustvarjanje vsebin
Področji Chatbot

Specifikacije GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Jedra CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Spomin BW346 GB/s
ArhitekturaPascal (GP102)
Prehaja skoziBare-kovina PCIe

Pogosta vprašanja

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.

Pripravljeni za teči {ime} na GPU?

V nekaj minutah razporedite poseben strežnik NVIDIA GPU. Brez rezervacij, brez prodajnih klicev.

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