NVIDIA Tesla P40 · 24GB VRAM

机器学习 GPU VPS

RAPIDS、XGBoost GPU和Scikit-learn使用专用的NVIDIA硬件进行加速机械学习。

$ pip install cuml-cu12 xgboost cudf-cu12
# 运行于 NVIDIA Tesla P40 (24GB)
准备就绪 。 _

GPU VPS上是什么?

GPU-加速机器学习使用 NVIDIA CUDA 来加快传统 ML 算法的培训和预测。 RAPIDS 和 XGBoost GPU 能够提供10-100x的超速运行,而仅使用CPU的操作。

为什么在 VPS.org GPU 上Machine Learning

拉皮达斯·库马勒

GPU-加速的缩微胶片液态兼容算法。

XGBoost GBPU 组合式 GPU

GPU的梯度加速模型10x快速列车。

CHDF & cuPy 计算器( CUPD & cuPy)

GPU-加速式熊猫和用于数据处理预处理的营养片。

端端对端 GPU

保持您所有的 ML 管道在 GPU 上的最大速度 。

流行 Machine Learning 使用案例

分类和回归
规模特征工程
实时预测
大型数据集处理
自动输油管
示范基准制定

GPU 指定

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

常问问题

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.

准备在 GPU 上运行 Machine Learning 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 。