NVIDIA Tesla P40 · 24GB VRAM

Aprendizagem de Máquina GPU VPS

Acelerar o aprendizado de máquina com o treinamento e a inferência de GPU. RAPIDS, XGBost GPU e scikit-learn em hardware NVIDIA dedicado.

$ pip install cuml-cu12 xgboost cudf-cu12
# Correndo em NVIDIA Tesla P40 (24GB)
Pronto. _

O que é {nome} em um GPU VPS?

A aprendizagem automática acelerada pela GPU usa a NVIDIA CUDA para acelerar o treinamento e as predições para algoritmos clássicos de ML. RAPIDS e XGBost GPU podem fornecer velocidades de 10-100x sobre implementações apenas da CPU.

Porquê {nome} em VPS.org GPU

RAPIDS CAML

Algoritmos compatíveis com cicoteo acelerado GPU.

GPU XGBost

Gradiente de comboio impulsionando modelos 10x mais rápidos na GPU.

CUDF & cuPy

Pandas aceleradas GPU e numpy para o pré-processamento de dados.

GPU final a final

Manter todo o seu conduto ML na GPU para a máxima velocidade.

Processos de uso populares {nome}

Classificação e regressão
Engenharia de características em escala
Previsões em tempo real
Tratamento de conjuntos de dados grandes
Oleodutos AutoML
Modelo de benchmarking

Especificações da GPU

GPUNVIDIA Tesla P40
VRAM24 GB GDDR5X
Núcleos CUDA3,840
FP3212 TFLOPS
INT847 TOPS
Memória BW346 GB/s
ArquiteturaPascal (GP102)
PassagemPCIe-metal

Perguntas Frequentes

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.

Pronto para executar {nome} na GPU?

Desenvolva um servidor NVIDIA GPU dedicado em minutos. Sem reservas, sem chamadas de venda.

Lançar o seu VPS
A partir de $2.0/mo