Intel Announces New Edge Platform for Scaling AI Applications
February 26, 2024

Intel announced its new Edge Platform, a modular, open software platform enabling enterprises to develop, deploy, run, secure, and manage edge and AI applications at scale with cloud-like simplicity.

Together, these capabilities will accelerate time-to-scale deployment for enterprises, contributing to improved total cost of ownership (TCO).

Pallavi Mahajan, Intel corporate vice president and general manager of Network and Edge Group Software, aid: “The edge is the next frontier of digital transformation, being further fueled by AI. We are building on our strong customer base in the market and consolidating our years of software initiatives to the next level in delivering a complete edge-native platform, which is needed to enable infrastructure, applications and efficient AI deployments at scale. Our modular platform is exactly that, driving optimal edge infrastructure performance and streamlining application management for enterprises, giving them both improved competitiveness and improved total cost of ownership.”

The open, modular platform will enable ready-made solutions across industries. By leveraging Intel’s edge experience and broad ecosystem to make the most in-demand edge use cases available, enterprises can purchase a complete solution or build their own in existing environments. Enterprise developers can build edge-native AI applications on new or existing infrastructure, and they can manage edge solutions end-to-end for their specific use cases.

The platform provides infrastructure management and AI application development capabilities that can integrate into existing software stacks via open standards.

The platform’s edge infrastructure has built-in OpenVINO™ AI inference runtime for edge AI as well as a secure, policy-based automation of IT and OT management tasks. Intel’s OpenVINO has evolved over the past five years to help developers optimize applications for low latency, low power and deployment on existing hardware specifically at the edge, enabling standard hardware already deployed to run AI applications efficiently without costly upgrades or refactoring.

The platform has a single dashboard that enables IT and DevOps personnel to provision, onboard and manage a fleet of edge nodes, including edge servers, industrial controls, HMI devices and others. This is accomplished securely and remotely with zero touch, across day 0/1/2 operations.

Furthermore, closed-loop automation enables operators to leverage policies and observability to trigger business logic from operational alerts at the edge, optimizing operations across the network and improving TCO.

Deep, heterogeneous hardware awareness gives best-in-class capabilities to allocate resources for optimal efficiency, as well as zero-trust security features co-developed for Intel architecture.

The platform will provide enterprise developers with access to powerful AI capabilities and tools, including:

- Finely tunable application orchestration for remotely placing latency-sensitive workloads on exactly the right device for best application performance.

- Powerful low-code to high-code AI model/app development with hybrid AI capabilities from the edge to cloud.

- A range of horizontal edge services like data annotation services that leverage Intel® Geti™ to build AI models, as well as vertical industry-specific edge services to improve results in common industrial use cases using video and time series information and digital twin capabilities to track and manage environments.

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