NVIDIA Tesla P40 · 24GB VRAM

Rith Ollama ar VPS GPU

LLManna foinse oscailte a imscaradh cosúil le LLaMA, Mistral, agus Gemma ar chrua-earraí tiomnaithe NVIDIA GPU. Luasghéarú GPU iomlán le VRAM 24GB le haghaidh inference tapa.

$ curl -fsSL https://ollama.com/install.sh | sh && ollama run llama3
# Ag rith ar NVIDIA Tesla P40 (24GB)
Réidh. _

Cad é Ollama ar GPU VPS?

Is creatlach éadrom é Ollama chun samhlacha teanga móra a reáchtáil go háitiúil.Le GPU VPS, faigheann tú crua-earraí NVIDIA tiomnaithe chun samhlacha cosúil le LLaMA 3, Mistral, Gemma, Phi, agus níos mó a reáchtáil le feidhmíocht uasta.

Cén fáth Ollama ar VPS.org GPU

Rith Aon LLM Foinse Oscailte

Imscaradh LLaMA 3, Mistral, Gemma, Phi, CodeLlama, agus na céadta samhlacha eile le hordú amháin.

24GB VRAM

Rith samhlacha paraiméadair 13B go compordach nó samhlacha 70B cainníochtaithe ar Tesla P40 GPUs.

Príobháideach agus Slán

Ní fhágann do chuid sonraí do fhreastalaí. Rialú iomlán ar do bhonneagar AI.

Comhoiriúnach don API

API comhoiriúnach OpenAI as an mbosca. Athsholáthar drop-in d'aon chliant OpenAI.

Cásanna Úsáide Coitianta Ollama

Comhrá Príobháideach
Uirlisí inmheánacha AI-chumhachtaithe
Iarratais RAG
APIanna giniúna cóid
Píblínte cruthaithe ábhair
Inneall Comhrá

Sonraíochtaí GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Dathanna CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Cuimhne BW346 GB/s
AiltireachtPascal (GP102)
TréchurPCIe lom- mhiotail

Ceisteanna Coitianta (CCanna)

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.

Réidh le Rith Ollama ar GPU?

Imscaradh freastalaí tiomnaithe NVIDIA GPU i nóiméid. Uimh áirithintí, gan aon glaonna díolacháin.

Seoladh do VPS
Ó $2.0/mí