
Cambium Networks
X7-55X Tri-Radio Tri-Band Wi-Fi 7 Indoor AP, 802.11ax/be 2+2+4 2.4GHz / 5GHz / 6GHz WLAN Access Point with Integrated Antennas, 5GbE, BLE / Zigbee, 6GHz radio enabled. EU version
List Price: $1,545.00
(Request quote for discounted pricing)
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X7-35X Wi-Fi 7 Indoor Access Point
802.11be Tri-band 2+4+4 with SDR Radio Access Point and IoT support
* 6 GHz (4×4), 5 GHz (4×4), 2.4 GHz (2×2)
* 17.9 Gbps aggregate data rate
* 5 GbE uplink port
* LPI (low power indoor) mode
* IOT radio to support many protocols
* Managed by cnMaestro[tm]
* Limited lifetime warranty
Great performance and density for Any Market
The Cambium Networks’ X7-55X Wi-Fi 7 Indoor Access Point (AP) with its software definable third radio is designed to deliver high density and cutting-edge performance with flexibility for current and future demands at a price point suitable for any market. Power your network with the latest Wi-Fi technology. The IoT radio is suited to support BLE, Zigbee, Matter or Thread and accommodate for any IoT requirement.
Fast Installation
The X7-55X Wi-Fi 7 AP streamlines installation, saving you time and money. Its multi-functional mounting system easily installs the access point over multiple telecom and electrical junction boxes, on a suspended drop ceiling system, or to any flat surface. The recessed Ethernet port and trim mounting bracket enables an aesthetically pleasing installation and final finish. Plus, the new Wi-Fi 7 junction box bracket is backwards compatible with the XV3-8 and XE3-4.
Cloud and On-Premises Management
X7-55X operates using Cambium’s cnMaestro Network Management, accessible on both cloud and on-premises platforms. Aligned with Cambium’s ONE Network, cnMaestro facilitates the management of all devices through a user-friendly interface, streamlining control from backhaul to edge devices. This enables you to start managing your network right away, reducing training and troubleshooting time.
cnMaestro X Assurance
Gain real-time insights into network health and troubleshoot client issues efficiently using AI-based analytics to move from reactive to proactive SLA management.