NVIDIA Tesla P40 · 24GB VRAM

Run LLaMA a kan GPU VPS

Self-host Meta's LLaMA 3 models on dedicated NVIDIA GPU hardware. Private, fast inference with 24GB VRAM for 8B and 70B parameter models.

$ curl -fsSL https://ollama.com/install.sh | sh && ollama run llama3
# Ana tafiyar da shi a kan NVIDIA Tesla P40 (24GB)
A'aha! _

Mece ce {nama} a kan wani GPU VPS?

LLaMA (Large Language Model Meta AI) shi ne iyalin Meta na manyan ma'aunin harshe masu sauki. Running LLaMA a kan GPU VPS yana ba ka damar shiga ba tare da iyaka ba zuwa AI mai ƙarfi na harshe.

Me yasa {nama} akan VPS.org GPU

QPrintPreviewDialog

Run LLaMA 3 8B a cikakke daidaito ko 70B kwatanta da 24GB VRAM.

QDialogButtonBox

Kukis ɗinka da bayananka na zaune a kan mai ba da sabis ɗinka. Babu kiran API na ɓangare na uku.

KCharselect unicode block name

Taimako ga GGUF, GPTQ, AWQ, da nau'ikan PyTorch na asali.

QPrintPreviewDialog

Ba da sabis ta hanyar vLLM ko Ollama don maye gurbin OpenAI API.

{nama} Kasuwanci Masu Sauƙaƙe

Mai taimakon AI na musamman
QPrintPreviewDialog
@ action
@ action
QDialogButtonBox
Shiryoyin Ayuka na AI na Kamfani

Bayanin GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
@ action3,840
KCharselect unicode block name12 TFLOPS
KCharselect unicode block name47 TOPS
KWrite346 GB/s
KCharselect unicode block namePascal (GP102)
QShortcutBare-metal PCIe

Tambayoyi da ake yi da yawa

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.

An shirya don Run {nama} akan GPU?

Yi amfani da mai ba da sabis na NVIDIA GPU a cikin minti. Babu ajiya, babu kiran sayarwa.

QDialogButtonBox
Daga $2.0/mo