AI and machine learning require large amounts of data. Our S3-compatible object storage provides the infrastructure for your training data – secure and GDPR-compliant.
Integrate storage directly into your ML pipelines via standard S3 API.
Intercolo offers the optimal infrastructure for your AI projects – from data storage to integration into your ML pipelines.
Large cloud providers often charge high egress fees that can quickly exceed your AI project budget.
International providers often have uncertainties regarding GDPR compliance and data sovereignty.
Complex pricing models with API costs, retrieval fees, and unpredictable additional costs make budget planning difficult.
Transparent pricing without hidden costs for outgoing traffic – ideal for data-intensive AI workflows.
Own infrastructure in Frankfurt – no US cloud provider, no third parties, full data sovereignty.
Simple pricing model: you only pay for storage and traffic used. No minimum terms.
Seamless integration with TensorFlow, PyTorch, Jupyter and other ML tools via S3 API.
Your data is stored in German data centers.
No hidden costs for downloads or API calls.
TLS-encrypted transfer.
Pay only for storage used, expandable anytime.
Transparent pricing without minimum terms or commitments.
Adjust the options to calculate your individual price for Object Storage
All prices exclude VAT. Volume discounts are applied automatically.
Thanks to our S3-compatible API, our storage can be directly integrated into training, evaluation, and deployment processes.
Access: S3-compatible via aws-cli, SDKs (Python, Go, Java), rclone, CI/CD tools.
Storage of large corpora, vector data, annotations.
Archiving of image and video data for object detection, segmentation, classification.
Long-term archiving of time-critical raw data for later model optimization.
Storage for open data sets, simulation data, model artifacts.