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Tunan TN-7500 AI Inference IPC
Model: TN-7500
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High-performance AI inference IPC supporting NVIDIA RTX 4060/Cambricon MLU270, Intel 13th Gen Core for machine vision, smart security and autonomous driving.
Core Configuration
• CPU: Intel Core i7-13700
• RAM: Dual DDR5, max 64GB
• GPU: RTX 4060 / Cambricon MLU270
• Storage: 2×M.2 NVMe + 2×SATA
• Network: 2×2.5G + 1×GbE
• Expansion: 2×PCIe x16 (dual GPU)
• PSU: 350W 80Plus
Hardware Specifications
01 Processor
Intel 13th Gen i7-13700, 16C/24T, P-core turbo 5.2GHz, 30MB cache. Powerful multi-threading for AI inference with GPU acceleration.
02 GPU Acceleration
Full-size dual-width GPU support: NVIDIA RTX 4060 (8GB) / Cambricon MLU270 (32GB HBM2). PCIe 4.0 x16 at 32GB/s. Dual GPU slots for parallel inference.
03 High-Speed Storage & Memory
Dual-channel DDR5 4800MHz, max 64GB (50% more bandwidth vs DDR4). 2×M.2 NVMe with RAID1 for model safety. 2×SATA for logs.
04 Network & Data Acquisition
2×Intel 2.5GbE for high-speed image input, 1×GbE for management. PoE NIC expansion for direct industrial camera connection.
Interface Details
• 2.5GbE: 2
• GbE: 1
• USB 3.2 Gen2: 4
• USB 2.0: 2
• HDMI 2.1: 1
• DP 1.4: 2
• M.2 NVMe: 2
• SATA III: 2
• PCIe 4.0 x16: 2 (GPU)
• PCIe 3.0 x4: 1
• Power: 350W 80Plus
Key Highlights
• RTX 4060/Cambricon dual AI acceleration
• 13th Gen i7 + GPU collaborative inference
• Dual NVMe RAID1 for model data safety
• 2.5GbE direct camera connection
• Dual GPU for parallel multi-model inference
• Industrial chassis with efficient cooling
Application Scenarios
Machine vision defect detection, smart security facial recognition, autonomous driving perception, industrial AI sorting, medical imaging AI, smart retail behavior analysis
Environmental Parameters
• Operating: 0-45°C
• Storage: -20-70°C
• Humidity: 10-90%
• PSU: 350W 80Plus Bronze
• Max power: 320W (GPU full load)
• Size: 380×300×180mm
• Weight: ~8kg
