AAEON announces the SRG-3352C Compact Edge IoT Gateway System. The SRG-3352C brings reliable, cost effective gateway ope...
TAIPEI, Taiwan –AAEON and LIPS Corp. today announce their success in passing and receiving the official NVIDIA Isaac C...
The NVIDIA Jetson TX2 NX is the latest addition to NVIDIA’s Jetson lineup, slotting in between the NVIDIA Jetson Nano and NVIDIA Xavier NX. Jetson TX2 NX is powered by a NVIDIA Pascal GPU, quad-core Arm Cortex-A57 MPCore processor complex, offering 256 CUDA Cores, 4GB of onboard LPDD4 memory, and 51.2 GB/s of memory bandwidth compatible with extensions of various standard bus interfaces. In total, this offers AI processing speeds up to 1.33 TFLOPS.
AAEON is pleased to announce the following upcoming platforms which leverage their expertise in rugged industrial design with the capabilities of the NVIDIA Jetson TX2 NX, in two familiar yet diverse I/O layouts:
- The BOXER-8230AI offers ultimate connectivity with five Gigabit LAN ports, four USB3.2 Gen 1 ports and two COM ports.
- The BOXER-8233AI unlocks greater flexibility with HDMI input, as well as two PoE PSE ports to power and communicate with devices over a single cable, such as PoE cameras or other sensors.
Together, they provide even more flexible options for developers and users interested in leveraging the NVIDIA Jetson platform. The BOXER-823x Series continues to offer AAEON technical know-how with fanless design for reliable, consistent performance. Additionally, AAEON is making available a limited number of pre-release development demo systems (BOXER-8230AI and BOXER-8233AI) for customers/developers wishing to become early adopters of the NVIDIA Jetson TX2 NX platform before it’s widely available.
NVIDIA Jetson is the leading AI-at-the-edge computing platform with over half a million developers. With pre-trained AI models, developer SDKs and support for cloud-native technologies across the full Jetson lineup, manufacturers of intelligent machines and AI developers can build and deploy high-quality, software-defined features on embedded and edge devices targeting robotics, AIoT, smart cities, healthcare, industrial applications, and more.