{"product_id":"mms4x00-nm16500m_6545","title":"NVIDIA\/Mellanox MMS4X00-NM16 Compatible 800GBASE-DR8 OSFP Finned Top 8 x 100G PAM4 1310nm 500m DOM MPO-16\/APC SMF Ethernet Optical Transceiver Module, Breakout to 2 x 400G-DR4 and 8 x 100G-DR","description":"\u003cstrong\u003eDescription\u003c\/strong\u003e\u003cbr\u003eThe 800GBASE-DR8 OSFP Optical Transceiver Module is designed for 800GBASE Ethernet throughput up to 500m over OS2 single-mode fiber (SMF) using a wavelength of 1310nm via MPO-16 connectors. This transceiver is compliant with lEEE P802.3ck, IEEE 802.3cu, OSFP MSA. The built-in digital diagnostics monitoring (DDM) allows access to real-time operating parameters.\nThe OSFP finned-top transceiver is used in Ethernet air-cooled switches. Featured with low latency, low power, and reliability, it can link upward in spine-leaf architectures for switch-to-switch applications, downward for top-of-rack switch links to Ethernet network adapters, and\/or to BlueField-3 DPUs in compute servers and storage subsystems. It is the ideal solution for HPC computing, AI, and cloud data centers.","brand":"AI HARDWARE","offers":[{"title":"MMS4X00-NM16500m \/ NVIDIA (ETH)","offer_id":48233699934449,"sku":"RefurbNVIDIA (ETH)47744","price":6602.33,"currency_code":"AED","in_stock":true},{"title":"MMS4X00-NM16500m \/ Cisco","offer_id":48233699967217,"sku":"RefurbCisco47745","price":6602.33,"currency_code":"AED","in_stock":true},{"title":"MMS4X00-NM16500m \/ Arista","offer_id":48233699999985,"sku":"RefurbArista47746","price":6602.33,"currency_code":"AED","in_stock":true},{"title":"MMS4X00-NM16500m \/ Juniper","offer_id":48233700032753,"sku":"RefurbJuniper47747","price":6602.33,"currency_code":"AED","in_stock":true},{"title":"MMS4X00-NM16500m \/ H3C","offer_id":48233700065521,"sku":"RefurbH3C47748","price":6602.33,"currency_code":"AED","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0794\/6390\/7569\/files\/FS7529-1.png?v=1780251355","url":"https:\/\/www.aihardware.ae\/products\/mms4x00-nm16500m_6545","provider":"Ai Hardware","version":"1.0","type":"link"}