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Discover Aetina’s Powerful AIP-IGX AI Systems for Industrial Environments

Aetina Corporation is set to release its powerful new AIP-IGX Series AI computing systems, offering up to 248 tera operations per second (TOPS) of AI performance. Powered by NVIDIA IGX Orin, these industrial-grade embedded systems are built to accommodate harsh environments and enable engineers to efficiently utilize the benefits of AI.

Introducing Aetina’s AIP-IGX Systems

The AIP-IGX Series AI systems are based on the NVIDIA IGX Orin platform, which includes an Orin IGX system-on-module (SoM), a ConnectX-7 smart network interface card (SmartNIC) supporting 200 gigabits per second (Gb/s) of networking speed, and a safety microcontroller unit for additional safety upgrades. The platform’s baseboard features an Ethernet switch, a PCIe switch, one or more Ethernet controllers, and a SATA controller.

Compatibility and Deployment Options

To meet diverse application requirements, the AIP-IGX Series systems will be available in various chassis sizes and cooling designs. By offering advanced hardware capabilities in compliance with different application environments, Aetina’s AI systems allow engineers to concentrate on application development and maximize their AI benefits. Additionally, engineers can take advantage of NVIDIA’s software stack and documentation for industrial and medical certifications.

Expanding AI Solutions with NVIDIA

As an elite member of the NVIDIA Partner Network, Aetina offers a range of AI computing systems and platforms powered by NVIDIA’s high-performance SoMs. Alongside the upcoming AIP-IGX Series, they provide NVIDIA Jetson-based embedded computers that cater to various industries including manufacturing, retail, medical, transportation, and logistics.

In conclusion, Aetina’s AIP-IGX Series engineering samples are expected to be released in October, and the ready-for-sale systems will become available in December this year. By leveraging the power of NVIDIA technology, Aetina continues to expand its range of AI solutions to meet industry demands and help engineers optimize their applications effectively.

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Andre

I am the Lead Editor at Startup World Tech, where I have dedicated over a decade to decoding the global startup ecosystem. With a degree in Journalism, I specialize in analyzing SaaS business models, Fintech regulations, and Artificial Intelligence ethics. My approach to tech journalism is hands-on. I don't just rewrite press releases; I report directly from the floor of industry shifts like CES, Web Summit, and VivaTech. My goal is to cut through the hype by conducting face-to-face interviews with founders and testing beta products in real-world scenarios before they hit the market.

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