As artificial intelligence (AI) services, particularly generative AI (genAI), become increasingly integral to modern enterprises, establishing a robust financial operations (FinOps) strategy is essential. AI services require high resources like CPU/GPU and memory and hence cloud providers like Amazon AWS, Microsoft Azure and Google Cloud provide many AI services including features for genAI. When using these services, it is imperative that we keep an eye on the consumption as cost overhead in using AI services can be costly for an organization.
The advent of AI services, particularly genAI, has revolutionized various industries, enhancing capabilities and driving innovation. However, the financial complexities posed by these advanced technologies necessitate a robust FinOps strategy to ensure cost efficiency and sustainability.
Establishing a governance model and cost management strategy for AI services plays a vital role in the AI strategy. FinOps provides the structure to achieve cost transparency, cost management and cost optimization, ensuring that AI services are not only effective but also economically sustainable. This article delves into developing FinOps solutions tailored for AI services, highlighting the unique considerations and strategic approaches necessary.
