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Edgecore Launches Praxis, an Edge AI Platform for AI Service Providers

Edgecore Launches Praxis, an Edge AI Platform for AI Service Providers

Edgecore Networks

Five hardware configurations from 1 to 70 TOPS, purpose-built for deployment at the customer site

Edgecore Networks, a leading provider of network solutions for enterprises, data centers, and telecommunication service providers, announced Edgecore Praxis, a curated Edge AI platform built for managed service providers, internet service providers, and AI-powered SaaS and VaaS platform companies seeking to extend AI capabilities to customer sites. Praxis is designed for technology companies that are already operating AI-powered services in the cloud and whose next challenge is closing the gap between cloud infrastructure and large-scale real-world edge deployment.

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AI is moving to the edge, and the companies that establish an early presence will gain a significant advantage in delivering value to their customers.

The demand for edge AI is no longer a future trend. Enterprise customers across security, building management, retail, and industrial sectors increasingly view AI-powered services as a standard offering from their technology providers. For companies serving these markets, the challenge is not the AI model, but deploying them reliably, cost-effectively, and at scale in the real-world operating environments.

Technology companies deploying AI services today face three major challenges that cloud-only architectures cannot effectively address.

Extending AI to existing infrastructure. Many end customers are running equipment that was never designed to support AI. Praxis enables AI deployment alongside existing infrastructure, bringing AI capability to the site allowing customers to add AI capabilities without replacing their current equipment.

Reducing cloud operating costs. Running AI inference entirely in the cloud generates costs that increase as AI adoption scales. Praxis brings inference to where data is generated, transforming a growing variable expense into a sustainable cost structure that improves margin as the business scales.

Keeping sensitive data on-premises. Applications in healthcare, finance, government, and enterprise security handle data that cannot leave the premises. Praxis processes and stores data locally, enabling AI deployment in environments and use cases that cloud-only architectures cannot support.

Edgecore Praxis offers five hardware configurations ranging from 1 TOPS to 70 TOPS, powered by platforms from Synaptics Incorporated and Qualcomm Incorporated. The lineup supports a range of AI applications, including IoT connectivity bridging, site-level video analytics, multi-stream inference, and high-density enterprise deployments. Each platform is purpose-built and validated for real edge AI deployment, providing customers the flexibility to align hardware performance with their specific application requirements without over-engineering or under-specifying.

Edgecore brings to Praxis decades of experience designing, deploying, and managing enterprise-grade networking infrastructure across service provider and enterprise networks worldwide. That engineering history is the foundation of every hardware decision, firmware standard, and management architecture in the Praxis platform. MSPs, ISPs, VaaS, and SaaS companies working with Edgecore bring that accumulated deployment experience directly into their edge AI services, without having to build it from the ground up.

“AI is moving to the edge, and the companies that establish an early presence will gain a significant advantage in delivering value to their customers,” said Teng Tai Hsu, Vice President at Edgecore Networks. “We built Praxis based on our experience deploying and managing hardware at scale in real-world environments. Our role is to provide AI service companies with a solid hardware foundation, allowing them to focus on growing their services and accelerating core business innovation.”

Edgecore Praxis is now available for evaluation. MSPs, ISPs, VaaS platform companies, and AI-powered SaaS providers interested in validating the platform for their deployment needs are invited to request an evaluation sample or schedule a technical discussion with the Edgecore Wi-Fi team.

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