NVIDIA Tesla P40 · 24GB VRAM

머신 러닝 GPU VPS

GPU 기반 훈련 및 추론으로 머신 러닝을 가속화합니다. 전용 NVIDIA 하드웨어에서 RAPIDS, XGBoost GPU, scikit-learn을 사용합니다.

$ pip install cuml-cu12 xgboost cudf-cu12
# NVIDIA Tesla P40 (24GB)에서 실행 중
준비됐어요 _

GPU VPS에서 Machine Learning는 무엇입니까?

GPU 가속 머신 러닝은 NVIDIA CUDA를 사용하여 고전적인 ML 알고리즘에 대한 훈련 및 예측을 가속화합니다. RAPIDS 및 XGBoost GPU는 CPU 전용 구현에 비해 10-100배의 속도 향상을 제공합니다.

VPS.org GPU에서 Machine Learning을 사용하는 이유

RAPIDS cuML

GPU 가속 scikit-learn 호환 알고리즘.

XGBoost GPU

GPU에서 그라디언트 부스팅 모델을 10배 빠르게 훈련합니다.

cuDF & cuPy

데이터 사전 처리를 위한 GPU 가속 pandas 및 numpy.

엔드투엔드 GPU

최대 속도를 위해 전체 ML 파이프라인을 GPU에 유지하십시오.

인기 있는 Machine Learning 사용 사례

분류 & 회귀
규모에 따른 기능 엔지니어링
실시간 예측
대규모 데이터 처리
AutoML 파이프라인
모델 벤치마킹

GPU 사양

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
CUDA 색상3,840
FP32 플랫폼12 TFLOPS
INT847 TOPS
메모리 흑백346 GB/s
아키텍처Pascal (GP102)
통과베어 메탈 PCIe

자주 묻는 질문

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.

GPU에서 Machine Learning를 실행할 준비가 되셨습니까?

전용 NVIDIA GPU 서버를 몇 분 안에 배포하세요. 예약도, 영업 전화도 필요 없습니다.

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