Discover and register for upcoming
Power Platform Master Series sessions and events
Wednesday, March 19, 2025 | 1:00pm CST
Running AI models like GPT-4o can be quite costly for businesses due to the high price of processing tokens. Additionally, businesses must consider the expenses related to fine-tuning and maintaining these models to ensure optimal performance. These costs can add up quickly, making it a significant investment for companies.
AI efficiency is increasingly measured by the number of tokens processed per dollar and watt of energy consumed. Tokens-per-dollar-per-watt highlights the importance of optimizing both cost and energy usage in AI systems. By maximizing this efficiency, businesses can achieve more sustainable and cost-effective AI operations.
Join us on Wednesday, March 19th where we will use real-life examples to dive into best practices around architecting GenAI automation and leveraging Power Automate to efficiently parallelize the workload. We’ll explore SLM models in Azure AI Foundry to run AI much cheaper than GPT-4o -level models while delivering the same quality.