Commerce.AI
Concurrency Benchmarking Framework for Voice AI Workloads
Pages
25
Time to read
32 mins
Publication
Language
English
Pages
25
Time to read
32 mins
Publication
Language
English
This white paper defines a benchmarking framework and reference architecture for evaluating Commerce.AI voice AI workloads on Microsoft Azure. It aims to assist in technical due diligence, procurement review, security assessment, and operational planning. The document focuses on high-concurrency voice agent operations, specifically targeting the ability to support 10,000 concurrent calls at the cluster level. It outlines key questions that the benchmark framework seeks to answer, such as the system's capacity to sustain live calls without degrading performance and identifying which subsystems may become limiting factors. The paper emphasizes the importance of benchmarking in ensuring that privacy controls and compliance measures function effectively under load, especially in regulated environments like healthcare. It also discusses the assumptions made regarding the testing environment and the specific Azure services utilized, ensuring that the framework is applicable to real-world scenarios. Overall, the document serves as a comprehensive guide for organizations looking to implement and assess voice AI solutions on Azure infrastructure.