Enterprise AI Solutions for Network Edge Acceleration Program
To adapt to the rapidly expanding business landscape, Intel in collaboration with Dell is launching a new program designed to help businesses across all sectors achieve their transformational goals. The Enterprise AI Solutions for Network Edge Acceleration Program brings together all the elements—from hardware and software to solution integration—in collaboration with an ecosystem of ISV partners. It enables solutions providers to bring together and deliver edge AI solutions that run on highly optimized Intel architecture, with the Dell XR8000 as the underlying platform. For customers this means a less expensive platform they can expect to work from Day 1.
Transcript
Brandon Towell: This program focuses on containerized edge AI applications, healthcare, manufacturing, retail, and more. We also cover a lot of horizontals, like push-to-talk communication, video analytics, defect detection, and all of these applications are on the network edge so that we can keep that data more secure, have extremely fast latency, and provide the reliability and bandwidth needed for these applications to run smoothly.
Andrew Vaz: Intel had announced a program where they were bringing a number of elements together, hardware, AI software libraries, end-to-end integration capabilities with AI, edge computing, and 5G connectivity, all together with an ecosystem of ISV partners as well as system integrators, and really bring these solutions together so enterprises could absorb them faster. One of the key platforms at Dell is a platform called the XR8000, and it was really designed and developed for far-edge-type applications. What this really is, is a very flexible, modular edge device to go run these types of workloads.
Dan Rodriguez: Dell servers allow you to have a small, medium, and large configuration, which is critical because it enables you to run a wide variety of AI applications. In Intel with our Xeon processors, they're packed with AI instruction set. So if a customer utilizes AI instruction set plus frameworks such as OpenVINO, they get a lot of AI performance out of the Xeon.
Steve Palermo: The end customer value prop is a less expensive platform.
Bhupesh Agrawal: What it means is that when these partners, the system integrators, telcos, enterprises, not only do they know that these solutions are going to be working from Day 1 but these are highly optimized on Intel architecture.
Andrew Vaz: At Dell, one of the things we talk about is not necessarily bringing the data to the AI but bringing AI to the data. It's really a set of use cases where we want to see AI processing and this layer of intelligence really happening at the edge, near these edge devices.
Caroline Chan: We pre-integrate and sell it as a solution. We believe that we cannot sell connectivity on its own. We really wanted to provide a solution that bundles all the applications, the automation together. So far, the reaction from the marketplace has been very positive.