For years, AI development has been defined by a race for the most powerful models. Each iteration has boasted higher parameters, improved accuracy, and enhanced capabilities. But as enterprises seek real-world AI applications, a fundamental shift is underway—AI is no longer about who has the biggest model, but who can orchestrate AI most effectively.
This shift is not just about software. The evolution of AI hardware is playing a crucial role in shaping the future of AI orchestration, cost efficiency, and performance optimization.
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