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Title

BNP Paribas deploys an internal LLM-as-a-Service platform hosted in its own data centers

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…ment and deployment of generative AI use cases in its businesses and functions, BNP Paribas has designed and deployed an internal LLM as a Service platform. Operated by the Group’s IT teams, this technology, allows each entity to…

…ure interface. These models can be directly integrated into tools or processes. The platform is based on a shared infrastructure hosted in the Group’s data centers, equipped with specialized computing capabilities (GPU). I…

Description

BNP Paribas designed and deployed an internal LLM as a Service platform, operated by the Group's IT teams, giving entities standardized, secure access to open-source models and Mistral AI models on shared GPU infrastructure hosted in the Group's data centers. It was deployed in an initial test phase across entities such as Hello bank! and the Group's general inspection, with internal assistants, document generation and document information retrieval use cases in production or experimentation.

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…as a Service platform. Operated by the Group’s IT teams, this technology, allows each entity to access a selection of language models (LLM) tailored to its needs via a standardized and secure interface. These models can be directly integrated into tools or processes. The platform…

…p’s data centers, equipped with specialized computing capabilities (GPU). It provides access to a selection of open-source models, models from Mistral AI, a partner of the Group, and soon models trained on internal datasets, according to specific needs. This architecture allows the Group to have high processing power to efficiently…

…AI into their existing processes, with shared technical and security standards. LLM as a Service was deployed in an initial test phase across various entities of the Group, such as Hello bank! and the Group’s general inspection, and is intended to be progressively deployed across…

…ertain applications. » Marc Camus, Group Chief Information Officer, BNP Paribas Several generative AI use cases are already in production or experimentation within the Group’s businesses, such as internal assistants, document generation, and infor…

Company

BNP Paribas

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…ment and deployment of generative AI use cases in its businesses and functions, BNP Paribas has designed and deployed an internal LLM as a Service platform. Operated by the Group’s IT teams, this technology, allows each entity to…

Industry

Financial Services

classification · high

…BNP Paribas Deploys Internal ‘LLM as a Service’ Platform 06.06.2025 BNP Paribas is now deploying an internal LLM as a Service platform, designed to provide the Group’s entities with unified and secure access…

Problem

BNP Paribas wanted to facilitate the development and deployment of generative AI use cases across its businesses and functions, giving Group entities unified and secure access to large language models.

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…as key drivers to enhance customer personalization and operational performance. To facilitate the development and deployment of generative AI use cases in its businesses and functions, BNP Paribas has designed and deployed an internal LLM as a Service platform. O…

Solution

BNP Paribas designed and deployed an internal LLM as a Service platform, operated by the Group's IT teams. Each entity accesses a selection of language models tailored to its needs through a standardized and secure interface, and the models can be integrated directly into tools or processes. The platform runs on shared GPU infrastructure hosted in the Group's data centers and offers open-source models and models from Mistral AI; models trained on internal datasets are planned to follow ("soon"), according to specific needs.

quote · high

…ment and deployment of generative AI use cases in its businesses and functions, BNP Paribas has designed and deployed an internal LLM as a Service platform. Operated by the Group’s IT teams, this technology, allows each entity to…

…p’s data centers, equipped with specialized computing capabilities (GPU). It provides access to a selection of open-source models, models from Mistral AI, a partner of the Group, and soon models trained on internal datasets, according to specific needs. This architecture allows the Group to have high processing power to efficiently…

Business value

According to BNP Paribas, the shared infrastructure gives high processing power while sharing and limiting costs, and facilitates scaling up generative AI use cases within a common framework with shared technical and security standards. The source gives no quantified results.

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…oup, and soon models trained on internal datasets, according to specific needs. This architecture allows the Group to have high processing power to efficiently execute language models, while sharing and limiting costs. It ensures secure deployment and enhances the coherence of generative AI usage…

…ternal assistants, document generation, and information retrieval in documents. The implementation of the platform allows for scaling up by facilitating the deployment of these use cases within a common framework and accelerating the implementation of new projects. The platform enhances the…

AI capabilities

Large Language Models, Generative AI

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…LLM as a Service platform, designed to provide the Group’s entities with unified and secure access to large-scale language models (Large Language Model – LLM). This shared infrastructure, operated by the…

Technology

Mistral AI

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…ng capabilities (GPU). It provides access to a selection of open-source models, models from Mistral AI, a partner of the Group, and soon models trained on internal datasets, according to specific needs. Thi…

Deployment model

On-premise

classification · high

…ure interface. These models can be directly integrated into tools or processes. The platform is based on a shared infrastructure hosted in the Group’s data centers, equipped with specialized computing capabilities (GPU). I…

Deployment options

On-premise

classification · high

…ure interface. These models can be directly integrated into tools or processes. The platform is based on a shared infrastructure hosted in the Group’s data centers, equipped with specialized computing capabilities (GPU). I…

Implementation approach

LLM as a Service was deployed in an initial test phase across various entities of the Group, such as Hello bank! and the Group's general inspection, and is intended to be progressively deployed across the Group according to an industrialization process.

quote · high

…AI into their existing processes, with shared technical and security standards. LLM as a Service was deployed in an initial test phase across various entities of the Group, such as Hello bank! and the Group’s general inspection, and is intended to be progressively deployed across…

Headline outcome

derived · high

…LLM as a Service platform, designed to provide the Group’s entities with unified and secure access to large-scale language models (Large Language Model – LLM). This shared infrastructure, operated by the…

Capture details

Captured: 01 Nov 2026, 06:01 UTC
Extractor: fetch-strip@1
Snapshot hash: 100e5544784a9acf8a644ae2f48c319f317c44375f0d6e366028c7146d2790b4

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