For organizations looking for a flexible digital infrastructure with low latency, speed and security, a network connectivity fabric can be customized to leverage existing lit fiber network, expand new routes to connect to the datacenter, and consumed or reconfigured on demand as data demands increase.
Edge fabric solutions enable AI by providing the necessary infrastructure to allocate computing resources close to data sources. This keeps data local, reduces latency and boosts processing speeds, which is essential for real-time analysis and decision-making. These capabilities are critical for machine learning model training, large-scale AI application deployment, data extraction and processing automation, and operational management and optimization—key operations for hyperscalers.
Additionally, edge fabric solutions enhance data sovereignty and compliance while containing the security footprint, ensuring that advanced AI technologies operate efficiently and effectively. A robust edge fabric infrastructure offers the scalability and flexibility needed to handle increasing data volumes and complex workloads, supporting the rapid growth of hyperscaler platforms and their customers.
With greater control over edge fabric infrastructure, hyperscalers can implement robust security measures tailored to specific needs, ensuring better protection of sensitive data and compliance with regulatory requirements. Access to advanced edge edge fabric infrastructure enables hyperscalers to develop and deploy innovative services and solutions, maintaining a competitive edge in the market, and keep playing the leading role in ushering in the era of AI.
Efficient real-time data processing and reduced data transfer costs through edge computing can lead to significant cost savings for hyperscalers, optimizing their overall operational expenses.