Скачать или смотреть EP36:Open Source or Proprietary AI: Unveiling the True Cost

The research report analyzes the total cost of ownership (TCO) of open-source versus proprietary generative AI solutions for enterprises. It finds that neither approach is universally cheaper, and the optimal choice depends on several factors. Open-source offers greater control and flexibility, potentially leading to lower costs at scale, but requires significant upfront investment and in-house expertise. Proprietary solutions offer ease of use, vendor support, and predictable pricing but can become more expensive with heavy usage. The report emphasizes the importance of evaluating factors like workload volume, customization needs, internal capabilities, and risk tolerance to determine the most cost-effective path. Case studies demonstrate how different organizations have successfully implemented both approaches based on their specific requirements.




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