07/08/2025 | News release | Distributed by Public on 07/08/2025 05:03
Today, many AI applications use the cloud, but the cloud is impractical for many AI applications. The cloud cannot support real-time. mission-critical AI applications and has significant backhaul costs. Many AI applications, such as self-driving cars and video surveillance. require near-real time data to work effectively. Exposing proprietary data to the cloud is also a concern. Leaking personal information or proprietary intellectual property is not an option, and security must be top of mind when designing an edge AI architecture.
Instead of the cloud, AI application owners are looking for edge AI resources that improve the reliability, latency, and security of their AI communications. The service provider will be one of the first places they will look towards to access edge AI capabilities.