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Intel AI Edge Systems and Suites: are designed to streamline AI adoption at the edge offering standardised blueprints and performance tools.
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Open Edge Platform Benefits: as a modular open-source platform, it simplifies the development and management of edge AI applications, enabling software integration and remote deployment.
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Enhanced Performance: testing demonstrates superior end-to-end performance with up to 2.3x increase in pipeline performance, and up to a 3.5x higher media decode performance.
What’s New?
Intel has unveiled its new Intel® AI Edge Systems, Edge AI Suites and Open Edge Platform initiatives. These offerings help streamline and speed up AI adoption at the edge across industries such as retail, manufacturing, smart cities, media and entertainment by simplifying integration with existing infrastructure.
Dan Rodriguez, Intel corporate vice president and general manager of the Edge Computing Group has stated:
“Our customers want to expand the use of AI in their existing infrastructure and workflows at the edge, ensuring they meet their total cost of ownership and achieve power and performance goals. With decades of experience at the edge, we’re taking our edge AI offerings and support one step further with Intel AI Edge Systems, Edge AI Suites and Open Edge Platform to accelerate the delivery of AI-ready solutions across the ecosystem.”
Edge AI is becoming an essential driver of enterprise innovation. Gartner forecasts that by the end of 2025, 50% of enterprise-managed data will be processed outside traditional data centers or the cloud, in places such as retail stores, manufacturing plants and healthcare facilities.
With over 100,000 real-world edge implementations with partners, many leveraging AI today, Intel understands the unique challenges of edge AI. These challenges vary significantly by industry, with each having distinct performance and power needs. What works for cloud providers is not suitable for enterprises at the edge, which need to maintain existing platforms and software, while integrating AI, to get the best total cost of ownership (TCO) and power efficiency.
Unlike large data centers with dedicated AI infrastructure, edge AI deployments must seamlessly integrate into pre-existing IT systems in space-constrained, low-power and cost-sensitive environments.
Intel AI Edge Systems, alongside Edge AI Suites and the Open Edge Platform, address these challenges by building on Intel’s pervasive technology foundation at the edge. These efforts empower the ecosystem to bring edge AI to market faster and more efficiently.
In an edge AI video analytics use case, tera operations per second (TOPs) alone don’t deliver real-world performance needs. When comparing Intel® Core™ Ultra processors to leading AI competition, although competition may lead in TOPs, Intel tests have shown a delivery of up to a 2.3x increase in end-to-end pipeline performance. The tests, conducted in January 2025, used an Intel® Core™ Ultra 7 Processor 265H compared to Nvidia Jetson Orin AGX 64GB, demonstrating a delivery of 3.5x higher media decode performance and a 2.3x higher E2E pipeline performance.
