Artificial intelligence has become fashion technology, but the reality is that its access and adoption remain two very important challenges for many organizations due to technical complexity and high infrastructure requirements. Democratizing AI models implies simplifying their integration, guaranteeing transparency and putting advanced models within the reach of all types of companies, regardless of their size or sector.
This is the problem that OVHCloud intends to solve, with its new AI Endpoints solution, with which it wants to respond to this need, offering a Serverless platform that facilitates access to the latest generation Open Source models, ensuring the sovereignty and confidentiality of the data, and eliminating technical barriers for developers and companies.
How to simplify and democratize access to AI models
AI Endpoints is a solution without server that allows developers to simply integrate advanced functionalities of AI in their applications. With more than 40 Open Source models, including large language models (LLM) and generative for conversational agents, voice models or code assistants, AI Endpoints democratizes the use of AI regardless of the size or sector of the organization. By eliminating the need to manage the underlying infrastructure or to have specialized knowledge in Machine Learning, this platform allows simple access to open source AI models housed in a cloud confidence environment.
AI Endpoints allows developers
The “hand key” for the development of applications
AI Endpoints allows developers to test AI functionalities in a test environment (Sandbox) before their large -scale deployment in applications, internal tools or business processes. The main use cases include:
- Integration of LLM into applications: it facilitates real -time natural language interactions to improve users participation or automate customer service.
- Text extraction: allows you to extract, interpret and organize unstructured data, optimizing ETL processes and operational efficiency.
- Voice integration: Through APIS, it converts spoken language into text and vice versa, ideal for automatic transcription, notes or enriched voice interactions.
- Coding assistance: Tools as continuous allow to integrate assistants of AI in development environments (IDE), improving productivity and code quality by detecting errors, task automation and code suggestions1.
A serverless platform for strategic autonomy
The sovereign cloud infrastructure of Ovhcloud guarantees that the data is housed in Europe and are protected from non -European regulations, providing technical and strategic autonomy. The platform, energetically efficient and environmentally respectful, reduces the impact of AI workloads without compromising performance. In addition, AI Endpoints promotes total transparency by Open-Weight models, which can be deployed in the organization’s own infrastructure or integrate into other cloud services, maintaining data control and avoiding the vendor Lock-in.
As Yaniv Fedida, Chief Product and Technology Officer of Ovhcloud, AI Endpoints represents a decisive step towards the democratization of AI, allowing developers to easily integrate innovative models with the confidence of a sovereign and transparent infrastructure.
