CSA1-N8S1684 AI Server: Comprehensive Technical Overview
High-Density Edge AI Server for Scalable Video Analytics and Deep Learning
1. Core Architecture & Compute Performance
-
AI Processors:
-
8× BM1684 TPU Modules (3rd-gen AI SoCs), each featuring:
-
Octa-core ARM Cortex-A53 CPU @ 2.3GHz
-
17.6 TOPS INT8 / 2.2 TFLOPS FP32 per module → 140.8 TOPS INT8 total peak performance
-
Integrated 12GB LPDDR4 RAM + 32GB eMMC storage per module
-
-
-
Control Node:
-
RK3588S Master Module (4× Cortex-A76 + 4× Cortex-A55 @ 2.4GHz) with 4GB LPDDR4X
-
2. Video Processing Capabilities
-
Massive Throughput:
-
128-channel 1080P HD video real-time processing (decoding + AI analysis)
-
Decoding: H.264/265 @ 7,680fps (1080P); 8K/4K resolution support
-
Encoding: H.264/265 @ 600fps (1080P)
-
JPEG Decoding: 4,800 images/sec @ 1080P
-
3. Storage, Expansion & Connectivity
-
Storage:
-
Compute Nodes: 256GB total eMMC (8×32GB)
-
Expansion: 1× 3.5" SATA3.0 bay (supports HDD/SSD up to TB capacity)
-
-
Networking:
-
Dual 10GbE SFP+ + 2× Gigabit RJ45 ports
-
BMC Management Port: Dedicated GbE for secure remote monitoring
-
Optional: 4G/LTE/5G module
-
-
I/O: HDMI 2.0 (4K@60Hz), 2× USB 3.0, Type-C debug port
4. AI Software Ecosystem
-
SOPHON SDK: Full-stack toolkit for AI deployment:
-
Supports TensorFlow/PyTorch/Caffe/MXNet/PaddlePaddle/ONNX
-
Model optimization, quantization, and Docker containerization
-
-
Pre-Trained Models:
-
Face/vehicle/object recognition, video structuring, behavior analysis
-
-
BMC Management:
-
Web-based interface for real-time monitoring, firmware updates, and custom secondary development
-
5. Physical Design & Environmental Specs
-
Form Factor: Standard 1U rackmount (490 × 390 × 44.4mm, ≤45kg)
-
Cooling: 5× high-speed fans with N+1 redundancy
-
Power: 300W AC PSU (100–240V input)
-
Operating Range:
-
Temperature: 0°C to 50°C
-
Humidity: 8–95% RH
-
6. Target Applications
Use Case | Key Capabilities |
---|---|
Smart City/Security | 128-cam traffic monitoring, crowd behavior analysis |
Industrial Automation | Real-time defect detection, IoT gateway control |
Retail Analytics | Customer tracking, POS integration |
Edge Computing | Low-latency inference for remote sites |
7. Certifications & Compliance
-
Standards: CE, FCC, CCC, RoHS, REACH
-
OS Support: Ubuntu, Debian, Linux, Android
Specification | Details |
---|---|
Product Name | Computing Power Cluster Server |
Product Model | CSA1-N8S1684 |
AI Computing Power | 140T@INT8 peak computing power, 17.6TFLOPS@FP32 high-precision computing power |
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: JPEG: 4800 images per second @1080P |
Nodes | 8 compute nodes (up to 64 ARM cores) + 1 control node |
CPU | - Compute node: BM1684 octa-core (A53*8) 64-bit processor, up to 2.3GHz - Control node: RK3588S octa-core (4×Cortex-A76 + 4×Cortex-A55), up to 2.4GHz |
RAM | 12GB LPDDR4 × 8 (compute nodes) |
Storage | 32GB eMMC × 8 (compute nodes), 3.5-inch SATA3.0 hard disk × 1 |
Network | GE RJ45 Gigabit Ethernet port ×2 (one for control node, one common port), SFP 10GE × 2, 4G/LTE/5G network (optional) |
Display | HDMI 2.0, 4K@60Hz (main processor core board display) |
USB | 2 × USB3.0 HOST, 1 × Type-C (for processor core board debugging) |
Fan | 5 high-speed fans |
Power | 300W AC power supply (input: 100V AC ~ 240V AC) |
OS | Linux |
BMC | Integrated BMC management system provides management interface based on Web. Supports secondary development. |
Deep Learning Framework | TensorFlow / PyTorch / Paddle / Caffe / ONNX / MXNet / DarkNet |
Dimension | Standard 1U rack-mounted server: 490mm × 390mm × 44.4mm |
Operating Temperature | 0℃ – 50℃ |
Operating Humidity | 8%RH–95%RH |