Initial Situation
A leading European logistics provider faced a strategic decision: Should they rely on cloud APIs for AI innovations or operate their own open-source Large Language Models (LLMs)? Given strict data protection requirements, an objective evaluation of available models and a technical concept for secure operation in their own data center were missing.
Our Solution
AMAI provided a solid foundation for decision-making through a combination of technical deep-dive analysis and business evaluation:
- Market Analysis: Comprehensive comparison of powerful open-source models with proprietary cloud solutions.
- Hosting Concepts: Development of concrete architectural scenarios for on-premise operation, including hardware sizing (GPU clusters) and inference optimization.
- Cost-Benefit Analysis: Detailed TCO (Total Cost of Ownership) calculation, weighing investment costs for proprietary hardware against ongoing cloud fees.
- Knowledge Transfer: Strategic workshop to empower the internal team for future AI integrations.
Results & Business Impact
Through the structured presentation of all technical and economic factors, the company gained the necessary clarity for its AI strategy. The company now has a detailed roadmap that shows when operating LLMs in-house is economically viable. The developed hardware specifications and compliance analyses serve as a blueprint for the secure scaling of AI in core logistics processes.
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