Edge AI Computing

Artificial Intelligence (AI) computing enables every industry to find the higher intelligence in big data to solve the most challenging problems. As the diversity of AI application grows, an  increasing amount of AI processing will be handled with edge devices/computers. TNS offers a growing range of Edge AI computing solutions featuring Intel, Nvidia and Hailo platforms.

 

TNS offers a full portfolio of NVIDIA Jetson platform-based systems that come with a full software development kit to help develop AI applications at the edge. The JetPack SDK includes TensorRT, cuDNN, CUDA Toolkit, VisionWorks, GStreamer, and OpenCV; all built on top of L4T with LTS Linux kernel.

 

Industrial-grade GPU workstation or server, is a specialised computing system designed for applications that require significant computational power, typically leveraging high-performance graphics processing units (GPUs).  Applications range from CAD/CAM design, scientific simulations, deep learning and AI research, medical imaging, 3D rendering, and any other task that demands substantial computational power and GPU acceleration.

 

Industrial GPU systems are distinct from consumer-grade computers in several ways:

1. Durability and Reliability: Industrial GPU computers are built to withstand harsh environmental conditions, such as extreme temperatures, dust, vibrations, and humidity, making them suitable for deployment in industrial settings.

 

2. Longevity: These systems often have longer product lifecycles compared to consumer-grade counterparts, ensuring stable, long-term operation for critical applications.

 

3. Customisation: Industrial GPU computers can be customized to meet specific performance and connectivity requirements of industrial applications, which can include fields like manufacturing, medical imaging, scientific research, and more.

 

4. Enhanced GPU (Graphics Processing Unit) Performance: The primary differentiator is the use of high-performance GPUs. Industrial GPU computers are equipped with professional or enterprise-grade GPUs, such as NVIDIA Quadro or AMD Radeon Pro, which are optimized for tasks like rendering, modeling, simulation, and machine learning.

 

5. Compatibility: Industrial GPU are designed to work seamlessly with various software and hardware components specific to industrial applications. This ensures compatibility and reliability in critical workflows.

 

6. Remote Management: Many industrial GPU computers include features for remote management, monitoring, and diagnostics, making them suitable for deployment in locations where physical access might be limited.

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  1. Products Products
    AI Embedded Computer Nuvo-10108GC

    13th/12th Gen Intel Core i9/i7/i5/i3 Processor. Supports 350W Nvidia RTX GPU. 7 USB, 3 PCIe slots, 2 x 2.5GbE, 1 GbE, 10G Ethernet (optional), Flexible Storage

    Product Status | Available

    Products Products
  2. Products Products
    AI Embedded Computer Nuvo-9160GC Series

    13th/12th Gen Intel Core i9/i7/i5/i3 Processor. Supports 130W Nvidia RTX GPU. 9 USB, 1 mini PCIe slot, 5 x 2.5GbE, 1 GbE, PoE+ Camera Connectivity, Flexible Storage

    Product Status | Available

    Products Products
  3. Products Products
    AI Embedded Computer Semil-1700GC

    IP67 Waterproof GPU Computer. Intel Xeon E or 9th/8th-Gen Core Processor. Supports NVIDIA RTX A2000 with full M12 Connectors. MIL-STD-810G and EN 50155 certified.

    Product Status | Available

    Products Products
  4. Products Products
    Edge AI Computer AIE100-903-FL-NX

    Fanless Edge AI system with Nvidia Jetson Xavier NX and 384-core Nvidia Volta GPU

    Product Status | Available

    Products Products
  5. Products Products
    Edge AI Computer Axiomtek AIE100-ONA

    Fanless Edge AI System with NVIDIA Jetson Orin Nano and 1024 core NVIDIA Ampere GPU

    Product Status | Available

    Products Products
  6. Products Products
    Edge AI Computer Axiomtek AIE510-ONX

    Fanless Edge AI System with NVIDIA Jetson Orin NX and 1024 core NVIDIA Ampere GPU

    Product Status | Available

    Products Products
  7. Products Products
    Outdoor Embedded Computer AIE800-904-FL

    Outdoor IP67 Fanless Edge AI System with NVIDIA Jetson Xavier NX and 384 core NVIDIA Volta GPU

    Product Status | Available

    Products Products
  8. Products Products
    AI Embedded Computer AIE900A-AO Series

    Fanless edge AI system with NVIDIA Jetson AGX Orin and 1792-core NVIDIA Ampere GPU

     

     

     

    Product Status | Available

    Products Products
  9. Products Products
    Industrial GPU Workstation iHPC100

    Intel Xeon or 12th Gen Core Processor (up to 125W). Supports Nvidia RTX/Quadro GPU accelerator card with next-gen cooling design

    Product Status | Available

    Products Products
  10. Products Products
    Industrial GPU Workstation iHPC300

    3rd Gen Intel Xeon Scalable CPU (up to 270W). Intel C621A Chipset. Supports up to 6 accelerator cards. 4U Rackmount high performance Industrial GPU Workstation.

    Product Status | Available

    Products Products
  11. Products Products
    Modular Edge AI Computer IPC960A

    13th/12th Gen Intel Core i7/i5/i3 or Celeron Processor, Intel Q670E, Front-access I/O, and 4 PCIe & PCI Slots. DDR5 up to 64GB

    Product Status | Available

    Products Products
  12. Products Products
    Modular Edge AI Computer IPC970

    Intel Xeon or 10th Gen Core i7/i5/i3 Processor. Supports Nvidia MXM/Hailo-8 GPU. 8 USB, 2GbE, 3 PCIe slots

    Product Status | Available

    Products Products

Edge AI Computing

Artificial Intelligence (AI) computing enables every industry to find the higher intelligence in big data to solve the most challenging problems. As the diversity of AI application grows, an  increasing amount of AI processing will be handled with edge devices/computers. TNS offers a growing range of Edge AI computing solutions featuring Intel, Nvidia and Hailo platforms.

 

TNS offers a full portfolio of NVIDIA Jetson platform-based systems that come with a full software development kit to help develop AI applications at the edge. The JetPack SDK includes TensorRT, cuDNN, CUDA Toolkit, VisionWorks, GStreamer, and OpenCV; all built on top of L4T with LTS Linux kernel.

 

Industrial-grade GPU workstation or server, is a specialised computing system designed for applications that require significant computational power, typically leveraging high-performance graphics processing units (GPUs).  Applications range from CAD/CAM design, scientific simulations, deep learning and AI research, medical imaging, 3D rendering, and any other task that demands substantial computational power and GPU acceleration.

 

Industrial GPU systems are distinct from consumer-grade computers in several ways:

1. Durability and Reliability: Industrial GPU computers are built to withstand harsh environmental conditions, such as extreme temperatures, dust, vibrations, and humidity, making them suitable for deployment in industrial settings.

 

2. Longevity: These systems often have longer product lifecycles compared to consumer-grade counterparts, ensuring stable, long-term operation for critical applications.

 

3. Customisation: Industrial GPU computers can be customized to meet specific performance and connectivity requirements of industrial applications, which can include fields like manufacturing, medical imaging, scientific research, and more.

 

4. Enhanced GPU (Graphics Processing Unit) Performance: The primary differentiator is the use of high-performance GPUs. Industrial GPU computers are equipped with professional or enterprise-grade GPUs, such as NVIDIA Quadro or AMD Radeon Pro, which are optimized for tasks like rendering, modeling, simulation, and machine learning.

 

5. Compatibility: Industrial GPU are designed to work seamlessly with various software and hardware components specific to industrial applications. This ensures compatibility and reliability in critical workflows.

 

6. Remote Management: Many industrial GPU computers include features for remote management, monitoring, and diagnostics, making them suitable for deployment in locations where physical access might be limited.

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