Thursday, May 21, 2026

Edgecore Launches Praxis: A Highly Versatile Edge AI Platform Tailored for AI Service Providers

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The well-known supplier of enterprise-level open networking solutions, data center solutions, and solutions for telecom service providers by Edgecore Networks has announced the launch of the latest product from its family named Edgecore Praxis. It is a highly curated AI solution designed especially for managed service providers, internet service providers, and SaaS or Video as a Service (VaaS) companies.

Praxis addresses a critical market bottleneck for technology providers currently running AI services via cloud environments. Its primary objective is to bridge the infrastructure gap between remote cloud data centers and high-performance, real-world edge execution.

As the market matures, enterprise customers across industries like physical security, building automation, retail operations, and industrial manufacturing now view intelligent, AI-powered insights as a baseline expectation. For B2B technology providers serving these verticals, the primary hurdle is no longer developing the AI models themselves, but rather deploying them in a reliable, cost-effective, and highly scalable manner within diverse physical operating environments.

The new platform systematically resolves three core challenges inherent to traditional cloud-only architectures:

  • Smooth Legacy Migration: User sites often run legacy systems which do not have AI capabilities inbuilt. Praxis offers smooth integration alongside legacy technologies by adding an element of local AI intelligence without making companies spend huge sums of money on upgrading their equipment prematurely.
  • Large Reduction in Cloud Costs: Cloud operations such as data upload and analysis generate costs that increase sharply as the company grows. By carrying out the inference operations locally on site, Praxis aids service providers in converting fluctuating cloud cost expenses into a fixed operational expense.
  • On-Premises Data Sovereignty: Highly regulated sectors such as healthcare, financial services, defense, and high-security enterprise environments must comply with rigid data privacy mandates prohibiting cloud transmission. Praxis retains and processes data strictly on-site, opening new market opportunities for AI vendors in compliance-sensitive fields.

In order to cater to a broad range of use cases, the platform includes five hardware designs with varying levels of compute power between 1 and 70 TOPS based on sophisticated processing capabilities provided by Synaptics Incorporated and Qualcomm Incorporated. This flexible product lineup covers needs for basic IoT bridge functionality and on-premises video analysis to high-density multi-channel inferencing. All hardware platforms are validated extensively to ensure that service providers have confidence in the systems to match their application’s needs.

Also Read: Circles and OpenAI Forge New Frontier with World’s First AI-Native Telco Stack

Edgecore infuses decades of global expertise in engineering, deploying, and managing enterprise-grade networking frameworks into the Praxis platform. This deep-rooted industrial heritage informs every component choice, firmware configuration, and management interface, enabling MSPs, ISPs, and SaaS vendors to instantly inherit a highly optimized infrastructure layer without the massive overhead of in-house development.

“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.”

The Edgecore Praxis platform is now open for evaluation. Service providers, ISPs, and AI developers seeking to validate the technology against their respective deployment roadmaps are encouraged to request an evaluation sample or connect with the Edgecore technical team.

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