NVIDIA Tesla P40 · 24GB VRAM

GU CHUMVI YA AIference

Tumikieni violezo vya AI katika uundaji pamoja na NSIDIA GPUs. Lifti ya chini kwa ajili ya kLM, violezo vya mifano, na matabiri ya ML.

$ pip install vllm && vllm serve meta-llama/Llama-3-8B-Instruct
# Akikimbia kwenye NVIDIA Tesla P40 (24GB)
Tayari. _

Jina la Kiingereza la NGOGS ni nini katika shirika la GPU VPS?

Kituo cha kuchunguza mazingira kina wafanyakazi waliozoezwa ili kutokeza matabiri. MWAMA wa Shirika la Uchimbaji wa Vitu vya Angani huandaa vifaa vilivyowekwa wakfu vya NAVIDIA kwa ajili ya kuandaa violezo vyenye kiwango cha chini cha chini na vya hali ya juu.

Kwa nini jina la Ntowachi mnamo VPS.org GPU

Uhaba wa Chini

GPU iliyojiweka wakfu huhakikisha nyakati zenye upatano za itikio bila majirani wenye kelele.

vLM & TGI

Kupatana na maoni ya watu wengi kuhusu jinsi ya kutumika kwa njia inayofaa kabisa.

Magari Yaendelea Kuwa Tayari

Hebu weka nyuma ya vifaa vya kusawazisha uzalishaji.

24GB VRAM

Pakua violezo vikubwa au violezo vidogo kadhaa wakati uleule.

Jina lipendwalo na wengi la Kanali Utumia Visa

LM API heams
Kizazi cha Picha APIs
Huduma za mawasiliano
Uwezo wa kuona wa Kompyuta API
Magari ya Kupendekezwa
Matabiri halisi

Muundo wa GPI

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA Cores3,840
FP3212 TFLOPS
INTI847 TOPS
Kumbukumbu BW346 GB/s
UjenziPascal (GP102)
Kupitia" Bare-metal PCIe "

Maswali Ambayo Watu Huuliza Mara Nyingi

What is AI Inference on a GPU VPS?

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AI Inference on a GPU VPS is a CUDA-accelerated deployment. AI Inference is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for AI Inference.

How do I set up AI Inference on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install vllm && vllm serve meta-llama/Llama-3-8B-Instruct. Your AI Inference environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for AI Inference?

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Our GPU VPS ships with 24 GB GDDR5X VRAM on the NVIDIA Tesla P40, which is sufficient for most AI Inference workloads. Multi-GPU configurations are available on request.

Is AI Inference 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 AI Inference?

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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 AI Inference.

Do I get full root on the AI Inference GPU VPS?

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Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for AI Inference however you need.

Which CUDA version is installed for AI Inference?

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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 AI Inference workload.

Does my AI Inference GPU VPS persist between sessions?

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Yes — your AI Inference 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 AI Inference workload?

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Keep working data on the VPS SSD for fast access during AI Inference runs; back up finished artifacts (weights, generations, embeddings) off-server via snapshots or object storage for safety.

Can I scale my AI Inference 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 AI Inference 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 AI Inference 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 AI Inference on a GPU VPS risk-free.

Je, uko tayari Kutangaza jina la NJEli kwenye GPU?

Deptoy a IVIDIA GPU server kwa dakika chache.

Omboleza UPS wako
Kutoka dola 2.0/mo