NVIDIA Tesla P40 · 24GB VRAM

数据科学 GPU VPS

使用加速的 GPU 数据科学工具, 处理大型数据集速度为 10- 100x 。 RAPIDS、 Jupyter 和 NVIDIA 硬件上的全 PyData 堆叠 。

$ pip install cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0
# 运行于 NVIDIA Tesla P40 (24GB)
准备就绪 。 _

GPU VPS上是什么?

GPU加速的数据科学使用 NVIDIA RAPIDS 运行熊猫、 sikit-learn 和其他直接在 GPU 上的数据工具。 进程数据集在 CPU 上需要数小时的时间 。

为什么在 VPS.org GPU 上Data Science

RAPIDS 套件套件

CHUDF (GPU pandas), CHIML (GPU scikit-learn), cuGraph (GPU 网络X) 。

焦热仪已就绪

使用 GPU 支持预配置的 JupyterLab 。

大型数据集

24GB GPU内存用于模拟数据处理。

可视化

GPU加速视觉化 与 cuxfilter和Plotly。

流行 Data Science 使用案例

大型数据集分析
地貌工程
ETL加速度
统计模型统计
图解分析
地理空间分析

GPU 指定

GPU 通用 GPUNVIDIA Tesla P40
卷内24 GB GDDR5X
CUDA核心3,840
FP3212 TFLOPS
INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT8 INT847 TOPS
内存 BW346 GB/s
建筑结构结构Pascal (GP102)
被动通过巴巴金属多氯二苯基

常问问题

What is Data Science on a GPU VPS?

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

How do I set up Data Science on a GPU VPS?

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Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install cudf-cu12 cuml-cu12 jupyterlab && jupyter lab --ip=0.0.0.0. Your Data Science environment is ready in minutes with full GPU acceleration.

How much VRAM do I need for Data Science?

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

Is Data Science 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 Data Science?

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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 Data Science.

Do I get full root on the Data Science GPU VPS?

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

Which CUDA version is installed for Data Science?

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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 Data Science workload.

Does my Data Science GPU VPS persist between sessions?

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Yes — your Data Science 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 Data Science workload?

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

Can I scale my Data Science 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 Data Science 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 Data Science 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 Data Science on a GPU VPS risk-free.

准备在 GPU 上运行 Data Science 吗?

在几分钟内部署专用的 NVIDIA GPU 服务器。 没有预约, 没有销售电话 。

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