Training Costs Are Falling — Inference Costs Are Exploding: 6 Types of Inference That Will Save Your AI Budget
Author(s): TANVEER MUSTAFA
Originally published on Towards AI.
Training Costs Are Falling — Inference Costs Are Exploding: 6 Types of Inference That Will Save Your AI Budget
We’re witnessing a remarkable paradox in artificial intelligence: while the cost of training sophisticated AI models continues to plummet, the expense of actually using these models — inference — is skyrocketing. This shift represents a fundamental transformation in how organizations budget for and deploy AI systems.
The article discusses the increasing costs associated with AI inference despite decreasing training costs, highlighting a dramatic shift in budgeting for AI systems as demand for inference grows. It covers the complexities and challenges of managing inference expenses and various strategies organizations can employ to optimize costs while maintaining performance, including batch processing, streaming, edge, hybrid, cached, and speculative inference approaches. The importance of developing effective inference strategies is emphasized as a means to enhance efficiency and compete in the evolving AI landscape.
Read the full blog for free on Medium.
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