Summary
This thought leadership article discusses the emerging trend of on-premises generative AI, highlighting concerns organizations have regarding public cloud models. It outlines the risks associated with public Large Language Models (LLMs), including issues related to accuracy, bias, data privacy, and intellectual property leakage. The article emphasizes that many businesses are exploring or implementing on-premises solutions to mitigate these risks. It details the advantages of on-premises generative AI, such as enhanced security, customization for specific use cases, and improved data management. The article also touches on the environmental impact of AI and how on-premises solutions can align operational efficiency with sustainability goals. Furthermore, it mentions Fujitsu's role in providing reference architectures and support for organizations looking to adopt on-premises generative AI, making the process more accessible. Overall, the article presents a comprehensive view of the shift towards on-premises generative AI as a response to the challenges posed by public cloud environments.
