NVIDIA Tesla P40 · 24GB VRAM

Rọ́ọ̀nù LLaMA lórí 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
# Ń bọ́ nípa NVIDIA Tesla P40 (24GB)
Tí a tì ṣè _

Àwọn àwọn ààyè-iṣẹ́ tí a fi pamọ́

LLaMA (Large Language Model Meta AI) ni ẹ̀yà Meta tí àwọn móòdù ìraǹrọ̀ àwọn ìraǹrọ̀ nlà. Ìrí LLaMA lórí GPU VPS náà ǹfí ọ̀fẹ́, àwọn ìṣàfilọ́lẹ̀ àwọn AI ìraǹrọ̀ tòòójútó.

Kini idi ti LLaMA lo lori VPS.org GPU

Llama 3 tí a tílẹ̀

Rọ́ọ̀nù LLaMA 3 8B nípa ìṣàfihàn tó kùǹtì tabi 70B tí a fi 24GB VRAM pamọ́.

Àwọn Ìṣàfilọ́lẹ̀ Àìdá

Àwọn ìṣàmúlò-ètò rẹ̀ àti àwọn ààtò rẹ̀ tí wọ́n tí wa nínú ààtò rẹ̀. Kò ní àwọn awáròyìn API àwọn ìṣàmúlò-ètò kẹtà.

Àwọn ìrísí-lẹ́tà mìíràn

Àwọn ìṣàfarawé fún GGUF, GPTQ, AWQ, àti àwọn ìrísí-lẹ́tà PyTorch.

Àwọn Ìṣàmúlò-ètò

Fi pẹlú vLLM tabi Ollama fun iyatọ API OpenAI tí a fi pamọ́.

Àwọn Ààyè Lòjútó LLaMA

Àwọn ìrànwọ́ AI ìtàn
Àwọn Àkọsílẹ̀
Àwọn ìṣàmúlò-ètò
Àwọn Àkọlé
Àwọn robotì ìrànwọ́
Àwọn Ìṣàmúlò-ètò AI

GPU Specifications

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Àwọn àwọ̀ CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Àwọn àwọn àmì-ìwé346 GB/s
Àwọn Ìṣàmúlò-ètòPascal (GP102)
Àwọn Ìjánu-ìṣàmúlò-ètòPCIe àìdárá

Àwọn Àtòjọ-ẹ̀yàn

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.

Tí o tí fẹ́ láti Rọ́ọ̀nù LLaMA lórí GPU?

Deploy a dedicated NVIDIA GPU server in minutes. No reservations, no sales calls.

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