EB5G2 Edge AI Station
EB5G2 Edge AI Station is a high-performance AI edge computing device which is powered by next Gen Flagship Qualcomm® QCS8550 processor. It is designed with 4 nm process, and integrated with Android and Linux. EB5G2 adopts an industrial-grade fanless design. Embedded with the built-in edge software edgeOS, it provides customers with device management, video management, AI algorithm configuration, application upgrades, edge-cloud collaboration, customization, and multi-cloud connectivity. EB5G2 delivers superior 48 TOPS of AI performance and up to 24 channels full HD video processing, which can be widely used in smart retail, smart building, smart factory, smart transportation, and many other edge AI application scenarios.
EB5G2 Edge AI Station Features
Premium performance with high AI computing power and multiple channel decoding
For intelligent edge computing, EB5G2 provides 48 TOPS high AI computing power and supports up to 24 channels of 1080P HD video decoding, which is suitable for multi-channel video streaming AI analysis scenarios such as building, community, school, factory, and retail.
Rich interfaces, multiple type of network for Edge computing scenarios
EB5G2 supports 5G, Wi-Fi, adaptive Gigabit Ethernet, RS232/CAN, RS485, USB3.0 and other interfaces. It also supports SD cards, M.2 SSD expansion, covering different intelligent edge application scenarios.
Industrial design for harsh conditions
Robust industrial level quality, fanless design, ultra-low power consumption, flexible deployment, plug and play, safe and reliable, easy to cope with any complex environment challenges.
Deeply optimized streaming media AI analysis service
With built-in deeply optimized streaming media AI analysis service TurboX Stream, EB5G2 features image zero copy, hardware acceleration, batch reasoning, algorithm sharing, and supports standard libraries such as SPL, ALG, and MBC, making AI algorithm deployment, verification, and delivery easy and fast.
Visual configuration of AI algorithms and applications
Provide WebUI visual management interface, which can localize equipment management, system management, OTA upgrade, algorithm configuration and other functions, support local view of alarm events, picture capture, video slice recording, and support rapid docking of third-party platforms.
Edge cloud collaboration, large-scale deployment, one-stop management
EB5G2 Edge AI Station Scenarios
|Linux / Android
|CPU: 1 GoldPlus 3.2GHz + (2+2) Gold 2.8GHz + 3 Sliver 2.0GHz
|GPU: Adreno A740
|NPU: Dual eNPU V3, 4 x HVX, HMX, INT8 48 TOPS/FP16 12 TOPS
|4K240/8K60 dec, 4K120/8K30 enc, AV1 decoder
|1x Micro SD Card slot, M.2 Con for 2280 SSD NVMe
|2x HDMI out, 1x HDMI in
|3x USB 3.0 Type A, 1x USB3.1 Type C(Support Video and OTG)
|2x RJ45, Gigabit ethernet(10/100M/1000M)
|2x RS485, 2x RS232 default (2x CAN optional with RS232)
|4x DI(Photocoupler), 2x DO(Switch: Short/OFF)
|1x Nano SIM card slot
|5x Antenna connector, 1x for WI-FI, 4x for 4G/5G module
|1x Micro USB( for system debug), 1x Micro USB( for 4G/5G module)
|M.2 connector for 3042 4G moduel, 3052 5G module, support PCIe/USB3.0
multimode support: 2G/3G/4G//5G NR sub-6
|GPS, Beidou and others
|Power key, Reset key
|Power status, Wi-Fi status, 5G Status
|CR2032 RTC Battery
|Input DC range support from 12V to 24V
|235mm x 200mm x 42mm
|Desktop, Wall mount
|-20℃ ~ +60℃
|-40℃ ~ +70℃