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Sundance Launches SMT135-C FPGA Board for Low-Power Vision and Edge AI Applications

Efinix unveils the Ti135 FPGA module, offering developers a compact, low-power solution for edge AI and machine vision applications, emphasizing real-time performance.

Efinix has launched a new system on module (SOM) featuring its Ti135 FPGA, designed to provide developers with a compact, low-power solution ideal for applications in edge AI, machine vision, and real-time control. Corporate Vice President of Marketing and Corporate Development, Bob Beachler, emphasized the benefits of the board, stating, “This board gives developers immediate access to the low-power performance and flexibility of our Ti135 FPGA in a compact, ready-to-deploy SOM form factor.” The announcement was made on March 27, 2026, highlighting the company’s commitment to advancing edge computing technologies.

The board boasts a range of enhanced I/O options, including Gigabit Ethernet, Small Form-factor Pluggable (SFP) connectivity, and a Samtec Firefly mid-board optical transceiver. It also features an SD card interface and optional 8-lane MIPI TX/RX operation, making it a versatile choice for developers looking to address various technical demands. Specifically engineered for workloads related to edge computing, real-time control, and vision-centric applications, this board aims to meet the growing demand for efficient solutions in the technology landscape.

As industries increasingly turn to AI and machine vision technologies, the need for low-power yet high-performance solutions becomes paramount. This new SOM from Efinix is positioned to fill that gap, delivering necessary capabilities in a compact form factor. The emphasis on low power consumption without sacrificing performance aligns with broader trends in the tech industry, where energy-efficient solutions are becoming more critical.

For further details about the product, interested parties can visit sundance.com. The launch of this board could significantly impact how developers approach projects in edge computing, potentially setting a new standard for flexibility and performance in the market.

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