AI Notebook

A GPU accelerated Jupyter environment to build and scale AI experiments with one click deployment, persistent storage, and seamless workflows.

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NVIDIA HGX B300 GPU
クラウドをいち早く体験

Blackwell Ultra 搭載GPUコンピュートで、大規模AI推論を 特別価格で実現

今すぐ事前予約

GPU仮想マシンで AIワークロードをスケール

NVIDIA HGX H100・HGX H200 GPU を、高い運用自由度とシームレスなスケーリングで導入

今すぐ起動 お問い合わせ

 

A Fast, Flexible, GPU‑Powered Notebook Environment

Key Features

One-Click Deployment

Launch a fully configured Jupyter environment instanly with no setup required.

Run demanding AI workloads on powerful GPUs, ideal for training, fine-tuning, and large-scale inference.

Keep your notebooks, datasets, and experiments saved in a persistent workspace across sessions.

Access a curated collection of ready-to-run notebooks with Hugging Face integration, covering text classification, image recognition, fine-tuning, and more.

Start, switch, or connect to kernels using CPU or multi-GPU configurations with intuitive controls in the IDE.

Why Developers Love our AI Notebook?

Instant Environment
One-click Jupyter setup with no configuration required
 
Persistent Workspace
Keep all work, data, and kernels intact across sessions

 
Notebook Gallery
Access pre-built notebooks and workflows from Hugging Face for NLP, computer vision, fine-tuning, and more
High-Performance GPU Options

Scale from CPU to multi-GPU setups to handle demanding workloads

Usage-Based Billing
Pay only for what you use with clear tracking of kernel runtime and costs

Simple, Transparent, Usage-Based Pricing

                                                              AI Notebook uses usage-based pricing so you only pay for what you actually use.
                                                              CPU and GPU sessions are billed based on runtime, with flexible GPU options to match your workload.
                                               You can easily track usage and costs, and top up credits anytime when needed.

 

H100 AI Notebook H200 AI Notebook
GPU VM
Specification
1x

1x GPU H100 SXM5 (AI Notebook ENG)

80GB of HBM3 memory
192GB RAM | 16 cores CPU | 3TB Local Storage NVMe
Intel Xeon Platinum Processor 8462Y+
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2x

2x GPU H100 SXM5 (AI Notebook ENG)

80GB of HBM3 memory
384GB RAM | 32 cores CPU | 6TB Local Storage NVMe
Intel Xeon Platinum Processor 8462Y+
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4x

4x GPU H100 SXM5 (AI Notebook ENG)

80GB of HBM3 memory
768GB RAM | 64 cores CPU | 12TB Local Storage NVMe
Intel Xeon Platinum Processor 8462Y+
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8x

8x GPU H100 SXM5 (AI Notebook ENG)

80GB of HBM3 memory
1536GB RAM | 128 cores CPU | 24TB Local Storage NVMe
Intel Xeon Platinum Processor 8462Y+
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How Developers Use AI Notebook?

Model Fine-Tuning
Fine-tune leading models using ready-to-run notebooks for a wide range of real-world tasks
Computer Vision Experiments
Run image and multimodal tasks using GPU-powered models for fast training and inference
Rapid Prototyping & Research
Start experiments instantly, iterate quickly, and validate ideas in a reproducible environment
Data Exploration & Preprocessing
Clean, transform, and visualize your data with JupyterLab before training or inference
GPU Kernel Management
Track GPU usage with running and history views to ensure predictable costs and billing accuracy