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Cloud AI with STACKIT

From the idea to innovation

A hand holds a glowing, blue and white digital cloud shape, with the white capital letters "AI" (Artificial Intelligence) in the center. The image symbolizes cloud computing and AI technology.

From generative tools and automated workflows to deep learning models - artificial intelligence is no longer a vision of the future, but has long been part of everyday digital life. Companies, administrations and developers rely on cloud AI services to analyze data intelligently, automate processes and make informed decisions in real time. However, the path from idea to productive application places high demands on data integration, model training, performance, compliance and flexible resource management: all of this has to come together for AI to really work.

STACKIT Cloud AI offers the right solution for this: a secure, sovereign platform that combines state-of-the-art technologies from data intelligence, computing, learning, automation and monitoring - with the highest standards of data protection, software quality and performance. Whether Kubernetes, API integration, SQL, BigQuery, code deployment, web services or observability: STACKIT creates a powerful environment for future-proof AI applications. Operated in Germany, ready for migration, multicloud, private server, open managed services and much more.

STACKIT is the reliable partner for your digital innovation.

Glossary: Key technical terms relating to cloud AI

  • Cloud AI: Provision and use of artificial intelligence (AI) as a service via the cloud. This includes machine learning, deep learning, generative AI and other AI technologies that are provided as managed services.
  • Machine learning: Automated analysis and recognition of patterns in data using algorithms that learn from experience - without explicit programming.
  • Deep learning: Sub-area of machine learning in which artificial neural networks with many layers are used to solve complex tasks such as image or speech recognition.
  • Generative AI: AI models that can independently generate new content - such as text, images or code. Examples include large language models(LLMs) or image generators.
  • Data intelligence: Comprehensive analysis and use of large amounts of data, so-called datasets, to enable well-founded insights and decisions.
  • Managed service: Operation and maintenance of AI services by the cloud provider STACKIT so that users can concentrate on the application.
  • AI frameworks and tools: STACKIT supports modern frameworks such as TensorFlow, PyTorch, scikit-learn and Keras as well as numerous open source tools for machine learning or generative AI. Each tool can be used specifically along the workflow - from training to monitoring.

Why cloud AI with STACKIT?

Cloud AI with STACKIT combines technological excellence with real sovereignty - for anyone who wants to implement AI applications securely, scalably and efficiently. Whether industry, public administration or digital health: STACKIT offers exactly the prerequisites that modern cloud AI projects need today.

Data sovereign & GDPR-compliant

STACKIT operates all services in German or Austrian data centers - certified according to C5 and ISO 27001. This creates trust and meets the highest data protection and compliance requirements. Ideal for public authorities, the healthcare sector and regulated industries.

Integrated security

With functions such as encryption, role-based access, network isolation and strong authentication, security is designed in from the outset and integrated directly into the platform.

Scalable and powerful

Whether CPUs, GPUs or TPUs: STACKIT provides the necessary hardware dynamically and scales your AI workloads automatically - for maximum performance and availability.

Fully managed services

No effort for infrastructure or maintenance: STACKIT takes care of provisioning, monitoring, updates, backup and migration so that you can concentrate fully on your AI projects.

Seamless integration & automation

Thanks to open standards, STACKIT can be easily integrated into existing IT environments - with APIs, SDKs, SQL, webhooks, Kubernetes, BigQuery and modern automation and monitoring tools.

Flexible & open

STACKIT supports open source frameworks, multicloud strategies and operation in the hybrid cloud - for maximum design freedom in the architecture of your solution.

Transparently calculable

With clear pricing models and no hidden costs, STACKIT is also ideal for budget-bound projects and start-ups that rely on planning security.

Always on the pulse of innovation

Benefit from direct access to the latest developments in generative AI, deep learning, BigQuery, data intelligence and automation - all via a central platform.

Cloud AI in detail: how it works, application scenarios and practical examples

How does Cloud AI work with STACKIT?

STACKIT Cloud AI provides companies and public authorities with a powerful platform on which complete AI workflows can be mapped, from data integration to live operation. The solution combines a superior cloud infrastructure with modern tools from the fields of data intelligence, machine learning, automation and deployment - ideal for the company-wide use of AI applications.

At its heart is a modular structure that covers all the steps required for the successful use of artificial intelligence:

  • Data integration and data management: large, heterogeneous data volumes from SQL and NoSQL databases, web applications, APIs, data lakes or content delivery networks can be imported, processed and centrally managed in a targeted manner.
  • Model development and training: Powerful GPU and TPU clusters for sophisticated computing are available for training models. Developers work with common frameworks such as TensorFlow, PyTorch, Keras or scikit-learn: supported by automated pipelines for machine learning.
  • Deployment and operation: Trained models can be provided flexibly - for example as APIs, microservices or serverless functions. They can be seamlessly integrated into Kubernetes clusters, web and digital services and existing software.
  • Monitoring and observability: The platform enables continuous monitoring of model quality, performance and data quality. Functions for automated retraining, versioning and management ensure stable operation.
  • Automation and integration: STACKIT Cloud AI supports the connection to existing workflows and the automation of complete business processes. Generative AI tools and comprehensive BigQuery analyses can also be seamlessly integrated.

Typical application scenarios

STACKIT Cloud AI is used across all industries, for example in administration for automated document analysis and traffic forecasting, in healthcare for AI-supported image analysis, in retail for personalized product recommendations and dynamic prices or in start-ups for the development of generative AI tools. System integrators also use the platform to integrate AI services into hybrid and multicloud environments as well as into their customers' existing IT systems. The following examples show what this looks like in practice.

Practical examples

A large stack of physical documents and papers rests on a desk next to a computer monitor. Digital glowing symbols and data visualizations in bright blue hologram effects float above the stack and the screen, symbolizing the transition from analog to digital document processing.
Intelligent document processing

Public sector

Local authorities rely on STACKIT Cloud AI to process citizens' inquiries more efficiently. The solution automatically classifies incoming documents, extracts relevant information and transfers it directly to the administrative software. This speeds up processes and reduces the workload for employees. Data protection and compliance are ensured at all times thanks to operation in German and Austrian data centers.

To the public sector industry page
A doctor wearing a face mask, glasses, and gloves stands in a modern, futuristically lit medical room. He is holding a tablet and interacting with two glowing, holographic screens displaying medical data, charts, and scans. A luminous, blue MRI or CT scanner is visible in the background. The image symbolizes medical technology and digital health data.
AI-supported image analysis

Digital Health

MedTech providers use STACKIT Cloud AI as the basis for evaluating medical image data. Deep learning models detect anomalies in X-ray and MRI images and support the diagnostic processes of medical staff. The solution meets the highest data protection, KRITIS and availability requirements - and offers full scalability as a managed service.

To the Healthcare industry sector
A smiling female logistics worker wearing a hard hat and safety vest walks through the aisles of a large high-bay warehouse. The scene is overlaid with futuristic, glowing blue augmented reality displays (HUDs) and data dashboards showing real-time information on inventory, efficiency, and stock levels.
Personalized shopping experiences

Retail

E-commerce companies use the analysis capability of STACKIT Cloud AI to evaluate customer behavior in real time. The results flow directly into the web store and CRM - for tailored product recommendations and dynamic pricing. Even with high traffic, automatic scaling ensures consistently stable performance.

To the retail industry page
Coins and a cloud
Generative AI for financial advice

Start-up

A FinTech start-up uses generative language models (LLMs) with an app for AI-supported financial planning. The application is based on STACKIT Cloud AI and offers personalized savings and investment tips. The platform supports a fast market launch, low infrastructure costs and a high degree of data sovereignty - perfect for growth-oriented start-ups.

To the FSI industry page

Tips, tricks & important information for operation with STACKIT Cloud AI

To ensure that your AI projects with STACKIT Cloud AI not only get off the ground, but also run successfully in the long term, it is worth taking a look at proven best practices. The following tips will help you to make the most of security, efficiency and scalability:

  • Make targeted use of security: Rely on end-to-end encryption, role-based access management and network isolation to best protect sensitive data and reliably meet compliance requirements.
  • Plan monitoring right from the start: Integrate STACKIT monitoring and observability tools to keep an eye on the performance of your AI models, their quality and data quality at all times. Including automated alerts and retraining triggers.
  • Automate processes consistently: Whether training, deployment or version management - many processes can be automated with STACKIT's APIs, CLI tools and workflows. This saves time, minimizes sources of error and increases the speed of response to changes.
  • Efficient migration: Comprehensive migration services and guides are available for moving existing AI workloads to the cloud. This ensures a secure, traceable migration with minimal disruption to operations.
  • Cleverly combine services: Harness the full power of the STACKIT platform by linking Cloud AI with other services - for example with data intelligence, BigQuery, SQL databases, Kubernetes, serverless, CDN or generative AI tools.
  • Flexibility for any infrastructure: STACKIT supports private cloud, hybrid cloud and multicloud strategies. This is ideal for companies that attach particular importance to data sovereignty, regulatory requirements or independence in the system architecture.
  • Control access centrally: User and role management is conveniently carried out via the STACKIT platform. This means you always retain control over who can use or change which resources.
  • Modern development with an open framework: From TensorFlow to PyTorch, from Keras to scikit-learn: STACKIT supports a wide range of established open source tools - perfect for agile teams in the fields of data science, AI development and deep learning.

An innovative and data-secure AI strategy with Cloud AI from STACKIT

Cloud AI as a managed service in the STACKIT Cloud provides a flexible and powerful platform for implementing AI applications in a secure, scalable and data protection-compliant manner - from data integration and model training to productive use.

Data sovereignty, compliance, simple integration and German data protection standards make STACKIT a reliable basis for digital innovations - whether in the public sector, healthcare, retail, for partners or start-ups. You benefit from maximum transparency, security and control - without any infrastructure overhead.

FAQs - frequently asked questions about Cloud AI with STACKIT

What advantages does Cloud AI offer as a managed service in the STACKIT Cloud?

STACKIT takes over the complete management - including provisioning, updates, monitoring and backup. This means you benefit from high scalability, simple integration into existing AI workflows and maximum data sovereignty - without any infrastructure overhead.

Is Cloud AI with STACKIT GDPR-compliant?

Yes, the operation takes place exclusively in German and optionally Austrian data centers - certified according to C5 and ISO 27001 - and meets the highest requirements for data protection, compliance and security.

Which AI frameworks and tools are supported?

STACKIT Cloud AI supports modern frameworks such as TensorFlow, PyTorch, Keras and scikit-learn as well as numerous open source tools for machine learning, deep learning and generative AI.