NVIDIA Tesla P40 · 24GB VRAM

Makine öğrenimi GPU VPS

GPU-güçlü eğitim ve çıkarımla makine öğrenimini hızlandırın. RAPIDS, XGBoost GPU ve scikit-learn özel NVIDIA donanımında.

$ pip install cuml-cu12 xgboost cudf-cu12
# NVIDIA Tesla P40 (24GB) üzerinde çalışıyor
Hazır. _

GPU VPS üzerindeki Machine Learning nedir?

GPU hızlandırılmış makine öğrenimi, klasik ML algoritmaları için eğitim ve tahminleri hızlandırmak için NVIDIA CUDA kullanır.RAPIDS ve XGBoost GPU, yalnızca CPU uygulamalarına karşı 10-100x hızlandırma sağlayabilir.

VPS.org GPU üzerinde neden Machine Learning

RAPIDS cuML

GPU hızlandırılmış scikit-öğrenme uyumlu algoritmalar.

XGBoost GPU

GPU üzerinde 10x daha hızlı gradient artırma modelleri.

cuDF & cuPy

GPU hızlandırılmış pandalar ve veri ön işleme için numpy.

Sondan Sona GPU

Maksimum hız için tüm ML boru hattını GPU'da tutun.

Popüler Machine Learning Kullanım Durumları

Sınıflandırma ve gerileme
Ölçeksel özellik mühendisliği
Gerçek zamanlı tahminler
Büyük veri kümesi işleme
AutoML boru hatları
Model referans değerlendirmesi

GPU Özellikleri

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA Renkleri3,840
FP3212 TFLOPS
INT847 TOPS
Bellek BW346 GB/s
MimariPascal (GP102)
GeçişÇıplak metal PCIe

Sıkça Sorulan Sorular

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.

Machine Learning'i GPU'da çalıştırmaya hazır mısınız?

Bir NVIDIA GPU sunucusu dakikalar içinde kurulabilir. Rezervasyon yok, satış çağrısı yok.

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