The rapid adoption of Generative AI and Large Language Models (LLMs) has caught many infrastructure teams off guard. Traditional data center designs weren’t built for the extreme power and heat requirements of high-density GPU clusters.
To stay ahead, organizations must consider:
1. **Network Throughput:** LLM training requires massive, low-latency bandwidth between nodes.
2. **Data Orchestration:** AI is only as good as the data it accesses. Moving data to compute—rather than the other way around—is becoming the new standard.
3. **Sustainable Scaling:** The carbon footprint of AI is a growing concern. Efficient liquid cooling and carbon-neutral energy sources are becoming essential infrastructure components.
Integrating AI into your core stack isn’t just a performance upgrade; it’s a total re-imagining of what infrastructure should do.
Implementing AI in Your Infrastructure
