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As technology matures and the ecosystem evolves, the realm of large model applications continues to broaden, transitioning from foundational tasks like text generation and image recognition to sophisticated capabilities such as cross-modal understanding and intricate system control. To meet the demands of these large-scale applications, models must not only deliver high accuracy but also be cost-effective, support multi-modal operations, and possess robust reasoning abilities. This shift necessitates advancements in underlying hardware. At the Intel special session of the Volcano Engine 2025 FORCE Conference, attendees delved into pertinent topics including optimization strategies tailored to various application scenarios, cost-effective inference computing solutions, and cloud computing upgrades aimed at enhancing chip computing power.
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