NVIDIA Tesla P40 · 24GB VRAM

Învățarea automată GPU VPS

Învățarea automată accelerată cu antrenament și inferință GPU. RAPIDS, XGBost GPU, și scikit-învățat pe hardware NVIDIA dedicat.

$ pip install cuml-cu12 xgboost cudf-cu12
# Funcționarea pe NVIDIA Tesla P40 (24GB)
Gata. _

Ce este {nume} pe un VPS GPU?

GPU-accelerate mașini de învățare folosește NVIDIA CUDA pentru a accelera antrenamentul și previziunile pentru algoritmi clasici ML. RAPIDS și XGBost GPU poate oferi viteze de 10-100x peste implementații exclusiv CPU.

De ce {nume} pe VPS.org GPU

RAPIDS CAML

Algoritme compatibile cu schikit-elear GPU-accelerate.

GPU XGBoost

Gradientul trenului impulsionează modelele 10x mai rapid pe GPU.

cuDF & cuPy

GPU-acelerate panda și numpy pentru preprelucrarea datelor.

GPU de sfârșit la sfârșit

Păstrați întreaga conductă ML pe GPU pentru viteza maximă.

Cazuri de utilizare populare {nume}

Clasificare și regresie
Ingineria caracteristicilor la scară
Predicții în timp real
Prelucrarea setului de date mari
AutoML conducte
Modelul de referință

Specificații GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Cores CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Memorie BW346 GB/s
ArhitecturăPascal (GP102)
Pass-throughPCI-metal ușor

Întrebări frecvente

What is Machine Learning on a GPU VPS?

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

How do I set up Machine Learning on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install cuml-cu12 xgboost cudf-cu12. Your Machine Learning environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Machine Learning?

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

Is Machine Learning 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 Machine Learning?

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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 Machine Learning.

Do I get full root on the Machine Learning GPU VPS?

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

Which CUDA version is installed for Machine Learning?

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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 Machine Learning workload.

Does my Machine Learning GPU VPS persist between sessions?

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Yes — your Machine Learning 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 Machine Learning workload?

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

Can I scale my Machine Learning 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 Machine Learning 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 Machine Learning 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 Machine Learning on a GPU VPS risk-free.

Gata pentru a rula {nume} pe GPU?

Depune un server NVIDIA GPU dedicat în câteva minute. Fără rezervări, fără apeluri de vânzare.

Lansați VPS-ul
De la $2.0/mo