{"id":466304,"date":"2026-05-25T14:50:09","date_gmt":"2026-05-25T14:50:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/ie\/466304\/"},"modified":"2026-05-25T14:50:09","modified_gmt":"2026-05-25T14:50:09","slug":"innodisk-launches-high-speed-10gbe-lan-series-to-power-next-generation-edge-ai-networking-eejournal","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ie\/466304\/","title":{"rendered":"Innodisk Launches High-Speed 10GbE LAN Series to Power Next-Generation Edge AI Networking \u2013 EEJournal"},"content":{"rendered":"<p>The new LAN portfolio combines compact form factors, wide-temperature support, and high-speed Ethernet performance for embedded and space-constrained AI systems.<\/p>\n<p>Innodisk, a leading global AI solution provider, today launched its\u00a0<a href=\"https:\/\/www.innodisk.com\/en\/products\/networking\/list?page=1&amp;categories=lan,can-bus,serial,poe&amp;filters=816,1088\" rel=\"nofollow noopener\" target=\"_blank\">High-Speed 10GbE LAN Series<\/a>, a portfolio of LAN modules built to address the growing networking demands of edge AI applications. As edge AI applications increasingly rely on real-time data exchange between sensors, edge servers, and endpoints, network connectivity has become a critical foundation for system performance. The series comes in both M.2 and PCIe form factors, delivering high-throughput, low-latency connectivity with DPDK, PTP, and SR-IOV, enabling efficient processing for data-intensive workloads in space-constrained environments.<\/p>\n<p>Unleash Full-Speed Networking<br \/>As edge AI adoption accelerates, traditional 1GbE connectivity is increasingly unable to support real-time data processing, high-resolution video streaming, and multi-sensor integration. Innodisk\u2019s 10GbE LAN Series tackles these challenges with low-latency connectivity powered by Intel E610\/X710 Ethernet controllers, and supports DPDK 25.07\/DPDK 16.11, PTP, and SR-IOV to accelerate packet processing, ensuring time synchronization, and improving resource utilization in virtualized environments. This enables consistent, high-performance networking across edge AI applications, including inference, AGV and AMR coordination, smart factory vision, and NVR surveillance.<\/p>\n<p>Versatile Design, Rapid Deployment<br \/>The series is available in M.2 2242, M.2 2280, and PCIe low-profile form factors, making it easy to integrate into a wide range of embedded systems without major redesign. Its daughterboard architecture, paired with high-speed shielding cables, enables flexible installation and upgrades in space-constrained environments while reducing integration complexity and accelerating time-to-market.<\/p>\n<p>Selected models also support wide-temperature operation from -40\u00b0C to 85\u00b0C, ensuring stable performance in demanding conditions, such as outdoor deployments and factory automation.<\/p>\n<p>Industry Firsts in M.2 Form Factor<br \/>Innodisk expands the boundaries of M.2 networking with multiple industry-first designs. Its EGPL-T203, dual-port 10GbE LAN module with wide-temperature support, is the first of its kind in an M.2 form factor rated for -40\u00b0C to 85\u00b0C Ta, enabling reliable deployment in harsh environments. The series also introduces EGPL-T2F1, the first M.2-based SFP+ LAN module, recognized with the Embedded World 2026 Best in Show Award, supporting both optical and direct-attached copper SFP+ modules for high-speed fiber connectivity.<\/p>\n<p>Alongside these innovations, additional models, including EGPL-T103, ELPL-T101, and ELPL-T201, complete the lineup, offering flexible configurations to address deployment needs. As edge AI continues to evolve, the need for faster, adaptable networking is becoming essential. Innodisk\u2019s High-Speed 10GbE LAN Series brings together performance, compact form factors, and deployment flexibility, making it easier to build efficient, high-speed systems at the edge.<\/p>\n<p>\n\tRelated<\/p>\n","protected":false},"excerpt":{"rendered":"The new LAN portfolio combines compact form factors, wide-temperature support, and high-speed Ethernet performance for embedded and space-constrained&hellip;\n","protected":false},"author":2,"featured_media":14566,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[61,60,80],"class_list":["post-466304","post","type-post","status-publish","format-standard","has-post-thumbnail","category-technology","tag-ie","tag-ireland","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/466304","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/comments?post=466304"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/466304\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media\/14566"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media?parent=466304"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/categories?post=466304"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/tags?post=466304"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}