AI GPU computer

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The NEX-3000 PEG series, equipped with workstation-grade Intel® Core™ i9/i7/i5/i3 processors (14th Gen, codename: RPL-S Refresh / RPL-S / ADL-S) and the Intel® R680E chipset, delivers workstation-level performance and offers up to 36% improvement in CPU performance.

This series features up to four PCIe expansion slots supporting NVIDIA® or AMD graphics engines up to 200W, along with one Mini PCIe and two M.2 slots for additional expansion.

Supporting up to 64GB of PCIe 4.0 and DDR5 4800MHz memory, the NEX-3000 PEG series provides powerful performance and flexibility for AIoT applications such as robot control, smart manufacturing, in-vehicle computing, and a wide range of Edge AI applications.

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Features

• Workstation-grade Platform : Intel® Core™ i9/i7/i5/i3 Processor (14th gen, codename : RPL-S Refresh/RPL-S/ADL-S) running with Intel® R680E PCH supports max 65W TDP CPU
• Supports outstanding AI computing productivity by NVIDIA®/AMD graphics card, up to 200W power budget
• USB 3.2 Gen 2x2 offers a max speed of 20Gbps data transfer
• DC 12V to 50V wide range power input, Software Ignition Control
• 4 Independent 2.5GigE IEEE 802.3at PoE+ LAN, 2 GigE LAN
• Expansion : 1 PCIe x16 slot with x16 signal, 1 PCIe x16 slot with x4 signal , 1 M.2 Key B, 1 M.2 Key E, 1 Mini PCIe
• Supports multiple 5G/WiFi/BT/4G/LTE/GPRS/UMTS
• Supports Intel® vPro, TCC, Time-Sensitive Networking (TSN), and TPM 2.0
• Storage : 4 front-access 2.5" SSD Tray, M.2 Key M
   
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  Feature Highlights

  High-speed AI Inference Platform

  • Workstation-grade Platform : Intel® Core™ i9/i7/i5/i3 Processor (14th gen, codename : RPL-S Refresh/RPL-S/ADL-S), up to 65W TDP CPU supported
  • Dual DDR5 5200MHz SO-DIMM, up to 96GB Memory
  • Supports performance hybrid architecture and advanced AI capabilities for smarter and faster applications   
  • Optional delivers outstanding AI computing productivity supporting max 6656 CUDA Cores, 52RT Cores, 208 Tensor Cores, delivers 15.6 TFLOPS RT Core performance, and 63.9 TFLOPS Tensor Core performance
  • High-speed data transfer : PCIe 4.0 (16GT/s), USB 3.2 Gen 2x2 Type-C (20G), USB 3.2 Gen 2 (10G), SATA III (6G), 2.5GigE LAN (2.5G), GigE LAN (1G)
  • Optional VHub One-Stop AIoT Solution Service supports OpenVINO based AI accelerator and advanced Edge AI applications 

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  Compact Integration

  • GigE Vision : 2 GigE LAN, 4 2.5GigE IEEE 802.3at PoE+ (25.5W/48V), optional with X-coded M12 Connector   
  • USB Vision : 6 10G USB 3.2 Gen 2, 1 20G USB 3.2 Gen 2x2 Type-C   
  • 4 COM RS-232/422/485, 3 SIM Socket, 32 Isolated DIO   
  • Max 4 external 2.5” SSD/HDD trays, Software RAID supported 
  • Compact M.2 Configurations : M.2 Key B, M.2 Key E, M.2 Key M 
  • Intel Deep Learning Boost (Intel DL Boost) and Intel Distribution of OpenVINO toolkit for AI Computing
  • Optional supports advanced NVIDIA Ampere Architecture and NVIDIA Turing Architecture by low-profile graphics cards

   

  Flexible Configuration

  • Levels of Independent Low-profile PEG : NVIDIA RTX A2000, NVIDIA Tesla A2, NVIDIA Tesla T4, NVIDIA T1000 
  • Versatile product configuration for project requirements   
  • SIM sockets for multiple 5G/WiFi/BT/4G/LTE/GPRS/UMTS wireless connections   
  • PCIe expansions for multiple 10GigE M12 PoE+ LAN, 10GigE PoE+ LAN, 10GigE LAN, 10G SFP+, 2.5GigE PoE+ LAN, 2.5GigE LAN, M12 PoE+ LAN, PoE+ LAN, GigE LAN, LAN Switch, USB, or Independent Graphics   
  • Compact Expansions : Mini PCIe, M.2 Key B, and M.2 Key
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  Optimized Operation

  • Max 200W power budget for independent graphics cards   
  • Multiple 5G/WiFi/BT/4G/LTE/GPRS/UMTS supports non-stop wireless data transfer
  • Lockable SSD/HDD trays, RAID 0, 1, 5, 10 Data Protection     
  • DC 12V to 50V wide range power input
  • Software Ignition Power Control for in-vehicle applications
  • Anti-shock, Anti-vibration
  • EN50155, EN50121-3-2   
  • Real-time capable with Intel Time Coordinated Computing (Intel TCC) and support for Time-Sensitive Networking (TSN)
  • Smart System Management : Intel vPro, TPM 2.0, PXE, Wake on LAN, Watchdog Timer 

  

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