Aetina Empowers AI Innovation with NVIDIA RTX Architecture and Jetson Embedded Systems

Aetina, a leading provider of GPGPU solutions in AIoT, has announced the launch of its MXM modules and embedded systems enabled by NVIDIA’s RTX architecture. The company’s latest offerings are designed to deliver high-performance AI and improve AI analytics.

Aetina MXM Modules with NVIDIA RTX Architecture for High-Performance AI

Aetina has released several MXM modules that are powered by NVIDIA’s Ampere architecture GPUs from the RTX family, including M3A4500-WP, M3A2000-VY, and M3A1000-PP. These modules are ideal for AI systems that require real-time data analytics and are compatible with CUDA Compute version 8.6, OpenGL 4.6, Vulkan 1.2, DirectX 12 Ultimate, Shader Model 7.0, as well as Windows 10/11 64-bit and Linux 64-bit operating systems.

Moreover, Aetina provides conformal coating services to its clients to protect the modules in harsh system environments. The company also assures the 5-year availability of the modules and offers exclusive technical support to help its clients reduce maintenance costs of their long-term AI projects.

NVIDIA Jetson Embedded Systems and Platforms from Aetina for Edge Computing

Aetina offers a variety of edge computing systems and platforms that support different NVIDIA Jetson system-on-modules (SoMs), including Jetson AGX Orin, Jetson Orin NX, and Jetson Orin Nano. The new NVIDIA Jetson-based embedded computer models from Aetina such as AIB-SO21/31, AIB-SN31/41, AIE-KO21/31, AIE-KN31/41, AIB-MO22/32, AIB-MN32/42, AIE-KO22/32, and AIE-KN32/42 support either an Orin NX SoM or an Orin Nano SoM.

These systems and platforms are compatible with different types of sensors and hardware expansions, enabling them to be easily integrated into larger AI-driven systems. Aetina also offers customization services for carrier boards, development kits, and chassis with on-demand I/O requirements and thermal designs that fit into special or harsh environments.

Aetina’s x86 AI Platforms and NVIDIA-Certified Systems for Better AI Analytics

Aetina’s x86 AI platforms such as AIS-D422-A1 and AIP-FQ47-B1 from the Aetina SuperEdge and MegaEdge family feature a powerful CPU and are compatible with standard graphic cards for computing power upgrades. These platforms, combined with the NVIDIA A2 Tensor Core GPU and the NVIDIA RTX A4500 graphics card, are NVIDIA-Certified Systems. This makes them ideal foruse with NVIDIA software tools to run AI training and inference with better performance.

Aetina’s AI platform, AIS-D422-A1, is also a listed member of NVIDIA-Certified Systems 3.0 that has been tested with the new NVIDIA L4 Tensor Core GPU at an industrial edge level. The platform supports NVIDIA T4 Tensor Core GPU and NVIDIA A2 Tensor Core GPU and can be used together with the NVIDIA Triton Inference Server to accelerate AI inference for different applications, improving AI analytic accuracy and efficiency to provide more value for business owners.

With NVIDIA’s AI Enterprise Suite and Fleet Command, system integrators can develop AI systems faster and more efficiently, using Aetina’s exceptional hardware offerings. By leveraging these NVIDIA software tools, system integrators can streamline their development processes and offer high-performance AI solutions that add value to their clients’ businesses.

In conclusion, Aetina’s hardware offerings are expanding the possibility of AI applications. By providing both MXM modules powered by the NVIDIA RTX architecture and NVIDIA Jetson embedded systems, alongside customizable x86 AI platforms, Aetina supports all major aspects of AI development. Furthermore, by leveraging NVIDIA’s AI Enterprise Suite and Fleet Command, Aetina proves its commitment to AI innovation through the high-quality, comprehensive AI solutions it provides.

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Alex is a seasoned editor and writer with a deep passion for technology and startups. With a background in journalism, content creation, and business development, Alex brings a wealth of experience and a unique perspective to the ever-changing world of innovation. As the lead editor at Startup World, Alex is committed to discovering the hidden gems in the startup ecosystem and sharing these exciting stories with a growing community of enthusiasts, entrepreneurs, and investors. Always eager to learn and stay updated on the latest trends, Alex frequently attends industry events and engages with thought leaders to ensure Startup World remains at the forefront of startup news and insights. Alex's dedication and expertise help create an engaging platform that fosters knowledge-sharing, inspiration, and collaboration among tech-savvy readers worldwide.

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