Hyperscale Solutions

Your Data Center Connectivity Partner

AFL Hyperscale has rebranded to AFL to better serve our customers globally

We’re unifying to become the market leader in customer experience. That’s not all. As one AFL, we’re ready to lead on AI’s enormous potential in the hyperscale space, while expanding our sustainable practices with enriched initiatives across energy efficiency, waste reduction, and conservation. This exciting new chapter brings positive change that helps keep you at the leading edge of your network requirements. Welcome to the future of customer-first hyperscale connectivity. Welcome to AFL.

Hyperscale network solutions from AFL

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AI networks

Uncover the transformative power of ultra-fast predictive analytics and prepare for next-level AI network efficiency. Build high-performance, low-latency architectures.

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White space

Transform your data center white space into a performance enhancing asset. Optimize your architecture for greater efficiency and scale effortlessly as demand grows.

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Data center interconnect

Modernize your data center cluster and stay consistently fast, reliable, and secure. Leverage best-fit options to improve efficiency and deliver uninterrupted services at scale.


Read our latest hyperscale and AI blogs

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Exascale computing: Powering tomorrow’s AI demands today

AI’s integration into daily life and business has skyrocketed in the past 18 months, transitioning from a luxury to a necessity for both large and small enterprises. This surge has pushed hyperscalers to invest heavily in compute resources, propelling them into the realm of exascale computing.

by Ben Atherton, Copywriter


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Effective cable management for AI-optimized data centers

To understand the importance and scale of effective cable management in AI-optimized data centers, we must first gauge the current and forecasted user demand driving greater need for hyperscale technologies and robust cabling solutions.

by Ben Atherton, Copywriter


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AI and hyperscale trends: 2024 and beyond

Artificial intelligence (AI) still cannot think like a human. However, thanks to advances in large language models (LLMs) and machine learning (ML), AI can learn. Because AI-powered systems can analyse vast data sets in real time and learn new ways to improve hyperscale resourcing efficiencies, the data center industry has entered an explorative era in innovation.

by Ben Atherton, Copywriter




Advanced Networks for Artificial Intelligence and Machine Learning Computing

Scaling Fiber Networks to Meet Tomorrow’s Data Center Demands