The future of AI is hybrid

The future of this is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute . 2 AI processing must be distributed between the cloud and devices for it to scale and reach its full potential . Just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices,. A hybrid AI architecture distributes and coordinates its workload

among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized services.

REGISTER NOW

All fields are required*

First Name:

This field is required.

Last Name:

This field is required.

Business email:

This field is required.

Business Phone:

This field is required.

Company Name:

This field is required.

Industry:

This field is required.

Job Title:

This field is required.

Job Level:

This field is required.

Country:

This field is required.

Zip / Postal Code:

This field is required.

By checking this box, I authorize AITechsDepot and its affiliates to use my personal data to contact me for relevant information about products, services & offers.

Your consent is required.