OSS Discovery point

The Open Source Discovery Point showcases open-source components developed within the IPCEI-CIS ecosystem. This tool provides visibility into OSS components functionalities, repositories, licences, and architecture domains across participating initiatives, supporting interoperability, collaboration, and knowledge sharing within the European cloud-edge ecosystem.

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Platform Mesh

Platform Mesh is the main Platform API for users and technical services to order and orchestrate capabilities attached to the environment. Its design principle is inherited from the Kubernetes Resource Model (KRM), enabling declarative management of services across distributed environments.
  • Multi-tenant Control Planes: Supports complex multi-tenant scenarios without compromising security and provides a foundation for a scalable and regionally distributed service ecosystem.
  • KRM-based API Management: KRM as the "lingua-franca" for declarative service management. Control Planes provide a declarative API layer between providers and consumers.
  • Service Provider Integration: Seamless provider integration through combination points between control planes of service providers and service consumers.
  • Decentralized Marketplace Support: Export and Binding interfaces that back decentralized marketplaces for consumers to browse available APIs and providers to publish services.

Thalamus

Thalamus is an open-source AI-as-a-Service platform that transforms any AI infrastructure into scalable, consumable AI services. Built for sovereign AI environments, it enables organizations to deploy, operate, and consume AI securely, compliantly, and independently of hyperscale cloud providers.
  • Sovereign & Regulatory-Compliant AI: Designed for sovereign AI ecosystems requiring restricted, confidential, and controlled deployments. Complies with regulatory requirements for the public sector and highly regulated industries.
  • Infrastructure Freedom: Runs on any AI infrastructure with out-of-the-box support for bare-metal AI hardware. Built for GenAI inference, machine learning, and emerging AI applications. Delivers Model-as-a-Service capabilities for both open-weight and proprietary models.
  • Confidential AI by Design: Enables confidential computing to protect model weights, intellectual property, and sensitive data.
  • Optimized AI Operations: Advanced routing, scheduling, and caching maximize performance, utilization, and cost efficiency for AI inference. Built-in observability, monitoring, metrics, lifecycle management, and model provisioning.
  • Open Standards, No Vendor Lock-In: Built on open, standardized Kubernetes APIs in collaboration with the open-source community. Vendor-specific inference blueprints are contributed back to open source and the Linux Foundation.
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IPCEI-CIS Reference Architecture
Open Source License
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