Vecow debuts compact EAC-4000, featuring NVIDIA Jetson Orin for enhanced edge AI

Vecow debuts compact EAC-4000, featuring NVIDIA Jetson Orin for enhanced edge AI

Vecow debuts compact EAC-4000, featuring NVIDIA Jetson Orin for enhanced edge AI As a tech journalist, Zul focuses on topics including cloud computing, cybersecurity, and disruptive technology in the enterprise industry. He has expertise in moderating webinars and presenting content on video, in addition to having a background in networking technology.


Embedded solutions specialist Vecow has launched the EAC-4000, a cutting-edge edge AI computing system.

Despite its small size, the EAC-4000 delivers exceptional performance, redefining standards in space-constrained applications of edge computing.

Central to the EAC-4000’s operation are the NVIDIA Jetson Orin NX and Jetson Orin Nano system-on-modules, which empower the system with an impressive AI processing capability of up to 100 TOPS. The system’s intense processing power is crucial for various applications that require real-time processing, such as:

  1. Traffic Vision systems that facilitate smart city developments.
  2. Auto Optical Inspection vital for maintaining quality in manufacturing.
  3. Navigation systems that enable autonomy in delivery robots.

The device’s minimal footprint (112x103x45mm) allows it to deliver exceptional processing power in compact settings.

Advanced technologies driving the EAC-4000

The performance and versatility of the EAC-4000 are optimised by a number of advanced technologies, including:

  1. NVIDIA Ampere™ Architecture: This GPU architecture powers the raw processing technology at the heart of the EAC-4000. This generation has made significant improvements in energy savings and computing speed compared to previous generations. The new Ampere architecture also features dedicated Tensor Cores for AI acceleration, which are useful in edge computing where AI workloads can be computationally intensive.
  2. LPDDR5 Memory: The latest LPDDR5 memory technology offers nearly 30% faster data transfer speeds while also being much more efficient with power. The EAC-4000 can handle substantial datasets using LPDDR5, which supports speeds up to 6400 Mbps, and incorporates enhanced power management features.
  3. NVDLA Engines: This system supports the NVIDIA Deep Learning Accelerator (NVDLA) engines, which are ideal for implementing deep learning inference workloads on edge devices. These engines are purpose-built to provide high-performance and power-efficient deep learning inference.

Connectivity and expansion options

The EAC-4000 is small but doesn’t skimp on connectivity:

  • 1 LAN port for network connections
  • 4 USB 3.1 ports for ultrafast devices
  • 2 COM RS-232/422/485 ports for industrial communication
  • WiFi/4G support with dual antenna connections
  • An external PCIe lane that supports NVMe storage

The EAC-4000 supports a wealth of high-performance interfaces to work with various edge computing systems and environments, including a full set of robust interfaces.

Software management and security features

Allxon provides the EAC-4000 with rich remote management capabilities, including:

  • In-Band remote device management.
  • Optional Out-of-Band system management.

These capabilities make it easy for remote or difficult-to-reach endpoint devices to be managed, thereby reducing downtime and service costs. In industrial or smart city applications, this is especially useful as it’s not always possible to gain physical access to many of these devices.

Security-wise, you can also enhance the system with TPM (Trusted Platform Module) modules. This addition insulates the data from being altered and safeguards it in higher-security applications, addressing one of several growing concerns regarding potential cybersecurity threats in edge computing environments.

Industry impact and future outlook

According to Joanna Sun, product manager at Vecow, “The EAC-4000 series brings high-performance edge AI computing to space-limited applications.” This comment points to the device becoming a very interesting option in the market for those looking for edge computing solutions that are expected to be compact yet powerful.

This makes Vecow a forward-looking member of the NVIDIA partner network, pushing innovation in AI. The company’s focus on expanding its Edge AI portfolio shows its commitment to addressing a wide range of industries, from automation to smart cities.

The EAC-4000 revolutionises the roles played by many industries. This provides a powerful solution for deploying AI capabilities to industries that previously lacked the ability to utilise such technologies, especially in areas where traditional solutions are simply too large. Hence, the EAC-4000 occupies a sweet spot that will enable the rapid acceleration of edge computing in what many believe to be a nascent market primed for explosive growth.

The new EAC-4000 not only enriches Vecow’s product line but also achieves a new objective in the field of edge AI computing. The EAC-4000 enables system integrators and aggregators to provide more advanced edge computing solutions by combining powerful processing, a small form factor, and multiple high-bandwidth connections. The EAC-4000 is the ideal platform that can not only offer customers a solution to meet the demand for AI and real-time data processing at the edge but also support the next generation of smart, connected systems.

See also: Foxconn and Nvidia to build high-tech computing facility in Taiwan

Want to learn more about edge computing from industry leaders? Check out Edge Computing Expo taking place in Amsterdam, California and London. 

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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