The Transformer Bottleneck: Why AI’s Future Depends on Smarter Algorithms, Not Bigger Data Centers
Beyond Transformers: Algorithmic AI Optimization, Edge Offloading, and the Future of Data Center Reduction A Research Journal Exploring Transformer Inefficiencies, Infrastructure Scaling, Consumer Compute Offloading, and Next-Generation AI Optimization Strategies Abstract Modern Artificial Intelligence systems are rapidly approaching infrastructure bottlenecks caused by the computational and thermal demands of transformer architectures. As Large Language Models (LLMs) […]
