CSA1-N8S1684X AI Computing Power Server

Name: CSA1-N8S1684X AI Computing Power Server
Brand: Firefly
SKU: CSA1-N8S1684X
Price: 4200 USD
Availability: InStock

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US$4,200.00

A high-density 1U rack server designed for industrial AI and edge computing, featuring 8× BM1684X SoCs with octa-core ARM Cortex-A53 processors (2.3GHz) and an integrated NPU. It delivers 256 TOPS INT8 peak performance, 128 TFLOPS FP16/BF16, and 16 TFLOPS FP32 precision for deep-learning workloads like video analysis, object recognition, and model deployment

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Description

Multi-Channel Video Processing: Supports 256-channel 1080p@25fps video decoding + AI analysis, ideal for security and real-time surveillance.
Flexible Configuration: Modular design allows customizing compute nodes (1–8 modules) and storage (SATA3.0 HDD/SSD expansion).
BMC Management: Integrated web-based monitoring for hardware control, troubleshooting, and secondary development.
Connectivity: Dual 10GbE SFP+ ports, GbE, optional 4G/5G, and UPS support for failover resilience.
Software Support: Includes SOPHON SDK for TensorFlow/PyTorch/Caffe frameworks and Docker deployment.

CSA1-N8S1684X AI Computing Power Server

Parameter	Specification
Product Name	Computing Power Cluster Server
Product Model	CSA1-N8S1684X
AI Computing Power	256TOPS@INT8 peak, 16TFLOPS@FP32 high-precision
VPU	Video decoding: H.264 & H.265: 1080P @ 11520fps Video decoding resolution: 8192×8192 / 8K / 4K / 1080P / 720P / D1 / CIF Video encoding: H.264 & H.265: 1080P @ 600fps Video encoding resolution: 4K / 1080P / 720P / D1 / CIF JPEG decoding: 4800 images/sec @1080P
Nodes	8 compute nodes (up to 64 ARM cores) + 1 control node
CPU	Compute node: BM1684 octa-core (A53×8) 64-bit, up to 2.3GHzControl node: RK3588S octa-core (4×Cortex-A76 + 4×Cortex-A55) 64-bit, up to 2.4GHz
RAM	16GB LPDDR4 × 8 (compute nodes)
Storage	32GB eMMC × 8 (compute nodes), supports 3.5-inch SATA3.0 hard disk
Network	GE RJ45 Gigabit Ethernet port ×2 (control node + common port)SFP 10GE × 2Optional 4G/LTE/5G
Display	HDMI 2.0, 4K@60Hz (main processor core board)
USB	2 × USB3.0 HOST, 1 × Type-C (for processor core debugging)
Fan	5 high-speed fans
Power	300W AC power supply (100–240V AC input)
OS	Linux
BMC	Integrated BMC management with web-based interface, supports secondary development
Deep Learning Framework	TensorFlow / PyTorch / Paddle / Caffe / ONNX / MXNet / DarkNet
Dimension	Standard 1U rack-mounted: 490mm × 390mm × 44.4mm
Operating Temperature	0℃ – 50℃
Operating Humidity	10% – 90% RH

Product Details

Reference CSA1-N8S1684X

MPN CSA1-N8S1684X

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CSA1-N8S1684 Datasheet

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