Meta relies more on ARM for AI on Facebook and Instagram
Meta is significantly increasing its reliance on ARM processors for artificial intelligence tasks within Facebook and Instagram, a move that could impact the performance and efficiency of its services for European users. This shift towards ARM architecture for AI, which powers ranking and recommendation algorithms, reflects a strategic effort to optimize resource allocation and improve operational efficiency. Over three billion Meta users will experience the effects of this transition. The company has already optimized its AI algorithms for ARM, a family of reduced instruction set computing (RISC) architectures. This optimization is particularly crucial for computationally intensive tasks like content ranking and personalized recommendations, fundamental features for the engagement of users across both platforms. The exact specifications of the ARM Neoverse processors Meta will use haven't been published. This move could have broad implications for the European tech landscape. By focusing on ARM, Meta is likely seeking to enhance the performance and energy efficiency of its AI systems. While not directly related to digital sovereignty, this can influence how Meta uses its resources, the quality of its services and in turn, how Europeans engage with its services.
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