Lantronix Inc. today announced its powerful new System-in-Package (SiP) solutions powered by Qualcomm Technologies’ chipsets that reinforce Lantronix’s position in industrial and enterprise IoT innovation, bringing advanced Artificial Intelligence (AI) and Machine Learning (ML) capabilities to the edge.
“Qualcomm Technologies and Lantronix have had strong relationships for more than 15 years,” stated Dev Singh, vice president of Business Development and head of Industrial Automation at Qualcomm Technologies Inc. “Utilizing Qualcomm Technologies’ cutting-edge processors, Lantronix enables its customers to seamlessly deploy AI solutions at the edge, bringing its expertise in embedded computing and IoT to deliver reliable, industrial-grade systems.”
With a combination of leading-edge performance and cost efficiency, Lantronix’s five new SiP families are set to accelerate the development of AI-driven applications in industrial and enterprise use cases, including robotics, industrial automation, video surveillance, video collaboration and drones. The new SiP modules are compliant with the Trade Agreements Act (TAA) and the National Defense Authorization Act (NDAA).
“With the addition of these five new SiP solutions, we continue our strategic collaboration with Qualcomm Technologies that has enabled Lantronix to build a proven track record of successfully delivering integrated, collaborative solutions that are driving forward IoT and AI/ML technologies to meet the evolving needs of today’s advanced-edge applications,” said Mathi Gurusamy, chief strategy officer for Lantronix.
Lantronix enables the creation of superior, high-performance AI-driven applications by integrating AI capabilities from the Qualcomm AI Hub. The Qualcomm AI Hub provides a reference base of more than 100 AI models and a simplified model optimization process to efficiently utilize AI capabilities (3.5 to 100 INT-8 TOPS) in these SiP families.
IQ9 Series SiPs for Industrial and Robotics Applications
Lantronix’s pin-compatible 9100IQ and 9075IQ SiPs, powered by the Qualcomm IQ-9100 and IQ-9075 processors, provide scalable, power-efficient and robust computing to autonomous devices and next-generation Industry 4.0 designs using advanced AI. The new IQ9 Series can enable:
- Robust safety functions in autonomous mobile robots (AMR) or platforms with functional safety (FuSa) up to level SIL-3 level (IQ-9100-based SiPs only)
- Device robustness with fault tolerance Error Correction Code (ECC) memory support and system cost savings by leveraging an integrated, dedicated safety island (IQ-9100) or real-time subsystem (IQ-9075) with four dedicated independent processing cores supporting real-time operating systems for system error monitoring and other critical functions.
- Robot perception, navigation and versatility improvement through a powerful Qualcomm Adreno™ 663 GPU and support for up to 16 concurrent cameras
- Interactive industrial edge AI systems utilizing up to 100 TOPS by integrating Large Language Model (LLM) support at the edge. The IQ9 Series Hexagon tensor processor can achieve a generation rate of 12 tokens per second when running the Llama 2 13B parameter mode.
- Fanless systems to enhance operating temperature with the SiP family supporting a -40°C to 115°C junction temperature range.
Learn more about Lantronix’s 9100IQ and 9075IQ SiP families here.
Lantronix’s Open-Q 8550CS for Advanced Video and AI Applications
Building on the success of its existing Open-Q SiP portfolio, Lantronix’s Open-Q 8550CS family, powered by Qualcomm Technologies’ QSC8550 processor, delivers high AI performance, power efficiency and advanced Wi-Fi 7 and Bluetooth 5 connectivity, making it ideal for long-term, high-demand edge computing applications. Benefits include the abilities to:
- Enhance video conferencing meeting experiences, automated guided vehicle pathing, smart camera image quality and edge AI box scalability with the family’s octal-core computing capabilities and 48 AI TOPS tensor performance.
- Perform complex 3D rendering and computer vision tasks with a powerful Adreno 740 GPU supporting ray tracing, Open GL ES, Vulkan and Open CL profiles and 4K240/8K60 video decoding and 4K120/8K30 encoding.
- Connect edge AI boxes leveraging high-speed 2.5G and 10G Ethernet ports.