The global GPU (graphics processing unit) market is expected to achieve a 34.4% compound annual growth rate from 2023 to 2028, with advancements in the artificial intelligence (AI) industry being a key driver of this growth. As the trend of AI applications expands from the cloud to edge devices, many businesses are seeking to maximize AI computing performance within minimal devices due to space constraints in deployment environments. Aetina's latest embedded MXM modules – MX2000A-VP, MX3500A-SP, and MX5000A-WP, adopting the NVIDIA Ada Lovelace architecture, not only make significant breakthroughs in performance and energy efficiency but also enhance the performance of ray tracing and AI-based neural graphics. The modules, with their compact design, efficiently save space, thereby opening up more possibilities for edge AI devices.
Aetina's latest embedded MXM module, MX5000A-WP, is equipped with the next-generation NVIDIA RTX 5000 Ada GPU. It offers up to 9,728 CUDA cores, 76 RT cores, and 304 Tensor cores, supporting PCIe 4.0 interface and up to 16GB of GDDR6 memory. With a power consumption of only 115 watts, it fully meets the needs of edge AI applications requiring intensive computation within a compact, high-performance form factor. Additionally, Aetina offers a variety of MXM product options with different performance levels, including MX3500A-SP with NVIDIA RTX 3500 Ada GPU and MX2000A-VP with NVIDIA RTX 2000 Ada GPU, to meet the requirements of various AI application scenarios.
Aetina accelerates edge AI integration, aiding customers in extreme scenarios. MX2000A-VP, MX3500A-SP, MX5000A-WP feature conformal coating for harsh environments, Error Correction Code (ECC) for data integrity, and five-year support, fostering innovation in edge AI.
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