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RK3588+12 GPU Edge Computing Server Design Solution, Supporting 120-Channel High-Definition Video

#RK3588#GPU#BM1688

RK3588+12 GPU Edge Computing Server Design Solution, Supporting 120-Channel High-Definition Video

The high-density server is an edge computing product with high performance and high computing power. It is equipped with an intelligent visual deep learning processor BM1688, and 12 computing units are optional. It supports intelligent analysis of 192 high-definition videos (hardware decoding) and hardware encoding of 120 high-definition videos; it also supports multiple Ethernet ports, HDMI, USB, and storage expansion. It can flexibly respond to high-concurrency business scenarios such as public security, transportation, industrial parks, manufacturing, and warehousing, and is equipped with diverse algorithms to empower various industries with intelligence.

TypeKey Parameters
Product NameHigh-Density Server
Product ModelXM3588-BM1688
AI Computing Power192 TOPS (INT8) peak computing power
Encoding and Decoding CapabilityVideo Decoding: H.264 & H.265: 16x1080P@30fps, supports 8192x8192 / 8K / 4K / 1080P / 720P / D1 / CIFVideo Encoding: H.264 & H.265: 10x1080P@30fps, supports 8K / 4K / 1080P / 720P / D1 / CIF
Number of Nodes12 computing nodes (up to 96 ARM cores) + 1 control node
ProcessorComputing Node: BM1688 Core (8x A53) 64-bit processor with a maximum clock speed of 1.6GHzControl Node: RK3588 octa-core (4x Cortex-A76 + 4x Cortex-A55) 64-bit processor, with a maximum clock speed of 2.4GHz
Memory8GB LPDDR4 x 12 (per compute node), 32GB eMMC x 8 (per compute node), 2x 2.5-inch SATA 3.0 hard drives
Network5x Gigabit Ethernet RJ45 network ports (1 control node port, 1 general-purpose network port), 2x SFP+, 4G/LTE/5G network (optional)
DisplayHDMI 2.0, 4K@60Hz (Main processor core board display)
USB1x USB 3.0 HOST, 1x USB 2.0 HOST, 1x Type-C (for BMC unit debugging/testing)
Fan5 high-speed cooling fans
Power Supply300W AC power supply (input: 100V AC ~ 240V AC)
Linux BMCIntegrated BMC management system, provides a web-based management interface, BMC management system can be further developed
Deep Learning FrameworksTensorFlow / PyTorch / Paddle / Caffe / ONNX / MXNet / DarkNet
Dimensions and SpecificationsStandard 1U rack-mounted server: 490mm x 390mm x 44.4mm
Operating Temperature0°C - 50°C, Operating Humidity: 10% ~ 90% RH (non-condensing)