• On-bench: PCIe edge connector covered in protective coating and four footings to board, USB connector to provide power for stand-alone operation on a bench
• In PC: PCIe form factor (68.9mm x 160mm) with standard 98-pin PCB edge connector to interface with any standard host PC or motherboard. Bracket to assist in securing to PC included as option.
• Low Power: Typical workloads 10-15W. Supports PCIe Gen 4.0 up to x8 lanes, LPDDR4 x4, I2C x2, eMMC, µSD card, QSPI-8 x1, 1G Ethernet x2 ports via RJ45, UART x1, and GPIO interfaces. • Machine Learning Accelerator (MLA): Provides up to 50 Tera Ops Per Second (50 TOPS) for neural network computation.
• Application Processing Unit (APU): A cluster of four ARM Cortex-A65 dual threaded processors operating up to 1.15 GHz to deliver up to 15K Dhry stone MIPs that eliminates the need for an external CPU processor.
• Video Encoder/Decoder: Supports the H.264 compression standards HEVC (High Efficiency Video Coding) with support for baseline/main/high profiles, 4:2:0 pixels and 8-bit precision. The encoder supports rates up to 4K P30, while the decoder supports up to 4K P60.
• Computer Vision Unit (CVU): Consists of a four core Synopsys ARC EV74 video processor supporting up to 600 16-bit GOPS.
• Designed to offer the highest performance for low power embedded edge machine learning applications.
SiMa.ai’s MLSoC Development Kit contains everything you need to evaluate, prototype and demonstrate your computer vision ML applications on the developer board using the contained MLSoC purpose-built silicon from SiMa.ai. The Development Kit combines a compact Developer Board based upon our HHHL PCIe production board that has been modified to expose interfaces utilized by developers and accommodates operation stand-alone on a lab bench environment as well as able to embed in a PCIe platform. This on-bench or in PC configuration options offer flexibility to support different developer profiles.
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