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
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 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 。

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