October 9, 2024 in Artificial Intelligence

Neousys Technology Showcases Extreme-rugged and Fanless Edge AI Computers at Embedded World North America 2024

Taipei, Taiwan – Neousys Technology, an industry-leading provider of rugged embedded systems, will be exhibiting at Embedded World North America 2024, booth 1937, taking place from October 8 to 10 in Austin, Texas. Exhibiting its cutting-edge extreme-rugged and fanless embedded computing solutions for reliable operation in harsh or hazardous industrial environments, the booth highlights Neousys platforms powered by Intel 14th-Gen Core™ and NVIDIA® Jetson system-on-module for intelligent applications such as cyber-physical system, real-time monitoring, or autonomy in manufacturing, automotive, oil & gas, medical industries.

Key exhibits at Neousys' booth:

  • IP69K/ IP67/ IP66-rated waterproof computers: Discover SEMIL and AWP series, Neousys' waterproof computers built with corrosion-resistant stainless steel and aluminum chassis, featuring waterproof I/O connectors. Engineered for hazardous environments, these systems are continually developed to meet stringent standards, including Class I Div. II explosion-proof and MIL-STD certifications.
  • Fanless compact computers: The Nuvo-9000 series and POC-700 series are Neo

    usys' fanless embedded computers that meet UL 62368-1 safety standards. Powered by Intel® 14th/13th-Gen or Alder Lake i3-N305 processors, these computers offer reliable performance in temperatures ranging from -25 to 70 degrees Celsius and are certified to MIL-STD-810H shock and vibration standards.

  • Rugged GPU-aided/ NVIDIA® Jetson edge AI computers: Neousys' rugged Edge AI computers are specially designed to maximize AI inference performance without throttling. These systems support NVIDIA® L4/RTX series GPUs or Jetson modules, offering rich interfaces and robust mechanical designs tailored for AI-powered applications in demanding environments.

Don't miss the opportunity to see how Neousys Technology is pushing the boundaries of rugged edge computing at Embedded World North America 2024.


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