Summary of AAEON UNVEILS AI AND EDGE COMPUTING SOLUTIONS POWERED BY NVIDIA
AAEON has unveiled new rugged embedded AI platforms powered by NVIDIA Jetson, designed for diverse users from makers to advanced developers. These compact solutions include the BOXER-8251AI with Jetson Xavier NX, BOXER-8240AI with Jetson AGX Xavier, BOXER-8222AI with Jetson Nano, and an updated BOXER-8120AI featuring Jetson TX2. Each model offers varying processing speeds and core counts to suit different edge computing needs while maintaining a small form factor for easy field deployment.
Parts used in the AAEON Rugged Embedded Platforms:
- BOXER-8251AI
- Jetson Xavier NX module
- BOXER-8240AI
- Jetson AGX Xavier module
- BOXER-8222AI
- Jetson Nano module
- BOXER-8120AI (new version)
- Jetson TX2 4GB module
AAEON, a leading developer of embedded AI and edge-computing solutions, today announced it is unveiling several new rugged embedded platforms—augmenting an already extensive lineup of AAEON AI edge-computing solutions powered by the NVIDIA® Jetson™ platform.
The new AAEON products provide key interfaces needed for edge computing in a small form factor, making it easier to build applications for all levels of users, from makers to more advanced developers for deployments in the field. The new products include:
- BOXER-8251AI featuring the new Jetson Xavier™ NX, a powerful, compact AI processing module with 384 CUDA® cores, 48 Tensor Cores, and two NVDLA engines capable of running multiple neural networks in parallel and delivering processing speeds up to 21 TOPS
- BOXER-8240AI featuring the Jetson AGX Xavier, which delivers workstation performance in a compact form factor with 512 CUDA cores and 64 Tensor Cores delivering processing speeds up to 32 TOPS
- BOXER-8222AI featuring the Jetson Nano™, capable of operating multiple neural networks or processing several high-resolution images at the same time with 128 NVIDIA CUDA cores delivering processing speeds up to 472 GFLOPS
AAEON also introduced a new version of the popular BOXER-8120AI, now featuring the Jetson TX2 4GB module, providing an efficient and cost-effective solution for AI edge computing with 256 CUDA cores delivering processing speeds up to 1.3 TFLOPS.
Partnering with an AI and edge computing leader like NVIDIA supports our mission to deliver more diversified embedded products and solutions at higher quality standards,” said Alex Hsueh, Senior Director of AAEON’s System Platform Division. “These new offerings powered by the Jetson platform complement our existing lineup of rugged embedded products, providing an optimal combination of performance and price in a smaller form factor for customers to easily deploy across a full range of applications.
Read more: AAEON UNVEILS AI AND EDGE COMPUTING SOLUTIONS POWERED BY NVIDIA
- What are the key features of the BOXER-8251AI?
It features the Jetson Xavier NX with 384 CUDA cores, 48 Tensor Cores, two NVDLA engines, and up to 21 TOPS processing speed. - How does the BOXER-8240AI perform compared to others?
It delivers workstation performance with 512 CUDA cores, 64 Tensor Cores, and processing speeds up to 32 TOPS. - What is the processing capability of the BOXER-8222AI?
It operates using the Jetson Nano with 128 NVIDIA CUDA cores delivering up to 472 GFLOPS. - Does the BOXER-8120AI have an updated version?
Yes, the new version features the Jetson TX2 4GB module for an efficient and cost-effective solution. - Can these platforms run multiple neural networks simultaneously?
Yes, the BOXER-8251AI and BOXER-8222AI are capable of running multiple neural networks or processing high-resolution images at the same time. - Who is the target audience for these new products?
The products are designed for all levels of users, ranging from makers to more advanced developers. - What is the main benefit of the small form factor?
The small form factor makes it easier to build applications and deploy them across a full range of applications in the field. - Which company partners with AAEON for these solutions?
NVIDIA is the partner providing the Jetson platform for these embedded AI solutions.
