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The AI data center industry is under pressure to meet the increasing global demand for high-performance AI systems. This requires the integration of more powerful hardware and tailored optical fiber networks to support complex AI workloads. AFL's white paper explores the technical building blocks that enable efficient scaling strategies in advanced AI data centers.
Key strategies for scaling include both scaling up existing resources and scaling out by adding more servers. Innovations in semiconductor technology, chiplets, and advanced packaging techniques are crucial for enhancing performance. The future of AI data centers will rely on robust networking solutions and industry collaboration to meet evolving demands.
• AI data centers must integrate powerful hardware for complex workloads.
• Modular design is critical for scaling up and scaling out strategies.
Machine Learning is a subset of AI focused on developing algorithms for predictions based on data.
Large Language Models utilize Deep Learning to understand and generate human language.
Chiplets are smaller, specialized chips that combine into complete systems for enhanced performance.
AFL is a major player in the optical fiber hyperscale space, focusing on AI data center infrastructure.
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