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Gen AI in a Box: Unlock Generative AI use cases in your sovereign infrastructure

The GenAI dilemma

Generative AI (GenAI) is on the agenda of every company working on their innovation roadmap. Yet, many organisations face this challenge: “Can we actually use GenAI, given our data sensitivity, the regulations we need to comply with and our infrastructure?”

For many critical activities such as public sector, defense, utilities, energy or transport, the honest answer is that it is not easily the case. Data is too sensitive to leave the building. Regulations are strict. Cloud costs fluctuate. Yet, assembling a secure, scalable AI environment from scratch takes months, sometimes years, at a high cost.

You know the value of GenAI. To make it real, GenAI in a Box can help you.

What is GenAI in a Box

GenAI in a Box is an on-premises, ready-to-run GenAI platform, built to operate entirely within your infrastructure. It combines hardware, software and AI models into one integrated environment, delivered fully installed and ready for use. It delivers a complete environment for deploying, managing and scaling GenAI securely and cost-efficiently.
This way, you can move from GenAI pilot to production, without relying on the public cloud.
 
GenAI in a Box brings together:

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Powerful AI hardware

built on Bull’s trusted BullSequana AI server family, engineered for inference, fine-tuning and large-model workloads

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 A complete AI platform
to manage models finetuning, LLMs serving engines, retrieval-augmented generation (RAG), machine learning, agentic framework and data platform

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Curated AI models
open-source (like Mistral AI, Llama, Falcon) or commercial, depending on your needs

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Pre-built use cases
with over 20 ready-made accelerators like chatbots, specialised agents,  document assistants and code copilots

All of it pre-installed, tested and shipped from our factory in France, so you can start running AI use cases immediately. 

 

How it works

GenAI in a Box arrives as a fully configured, plug-and-play appliance.
 
From day one, you can:
1
Deploy your first use case
2
Connect to your data sources
3
Experiment with models, fine-tune & serve them on-prem
4
Scale confidently as your use cases grow

Why choose Bull

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Sovereign Innovation

For organisations where data can’t leave the premises, GenAI in a Box brings the full GenAI experience inside your secure infrastructure, built on servers with over 75% European-sourced components. 

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Predictable costs

Many companies validated GenAI in the cloud but hit a wall when usage costs became unpredictable. Our solution offers a fixed annual fee, not tied to the number of users, giving you total cost visibility. 

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Zero complexity

Everything arrives pre-installed and fully staged in our factory: hardware,
AI platform, models and accelerators, without the need to integrate multiple and complex vendor solutions. 

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Trusted European expertise

Designed, assembled and supported in Europe, GenAI in a Box combines Bull’s heritage in high-performance computing with deep AI engineering
and consulting expertise. 

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100% European Infrastructure

From hardware to virtualization platform, ensuring sovereignty, compliance, and full auditability through open-source engineering.

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Reliable, Cost-Efficient Performance

Robust and future-proof virtualization solution delivering 60–80% lower TCO compared to traditional options.

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Tailored, Scalable Architecture

Flexible configurations with BullSequana SH or BullSequana SA to meet diverse workload needs.

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High Density and Low Latency

Lightweight hypervisor and optimized design for maximum VM-to-core ratio.

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End-to-End Security

Full supply chain transparency, advanced hardware protection, and trusted execution technologies.

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Energy Efficiency

Reduced power consumption per workload with eco-conscious infrastructure design and smart VM scheduling.

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Easy Expansion and Automation

Modular, composable hardware with API-driven orchestration for seamless scalability.

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Easy Deployment

An already validated reference architecture and a SPOC for hardware-software integration and support.

Proven in action

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What we did for a French health insurance platform

Faced with billions of invoices and millions of prescriptions processed on-premises, the agency needed to detect fraud without compromising data privacy. Bull deployed a secure AI pipeline using computer vision, optical character recognition and large vision-language models, achieving 85% fraud detection accuracy.

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What we did for a secure ID solution provider

Bull provides industrial‑grade services to ensure flawless SAP HANA deployment, from factory‑integrated infrastructures and automated installation to rigorous testing and lifecycle management, delivering a secure and reliable environment ready for long‑term performance.

A smarter and safer way to scale GenAI

Every organisation has its own constraints, whether regulatory, operational or financial. GenAI in a Box gives you the freedom to innovate within those boundaries, without sacrificing speed, security or control.

FAQ

Many organisations face practical challenges such as protecting sensitive data, complying with regulations, integrating AI with existing systems, and managing infrastructure costs. Moving from experimentation to reliable production systems can also be difficult without the right technical platform and governance.

Some organisations cannot rely on public cloud AI services due to strict regulatory requirements, sensitive data, security policies, or the need for data sovereignty. Others face unpredictable costs when scaling cloud-based AI usage. An on-premises solution allows organisations to run generative AI entirely within their own infrastructure, ensuring that sensitive information never leaves the environment while providing predictable costs and greater operational control.

GenAI in a Box enables organisations to deploy a wide range of generative AI applications, including internal chatbots, document assistants, knowledge search systems, developer code copilots, and specialised AI agents. It also supports advanced capabilities such as retrieval-augmented generation and model fine-tuning on proprietary data, allowing organisations to build AI systems tailored to their internal knowledge, processes, and industry requirements.

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