Compute Everywhere: How Storage and Networking Expand the Compute Continuum
Summary
This article discusses how advancements in storage and networking are expanding the compute continuum, particularly for modern analytics deployments. It highlights the critical role of reducing latency in solutions like AI and Machine Learning, and how distributed analytics across network and storage nodes are being explored to efficiently handle large and widely distributed datasets.
IFF Assessment
The article discusses advancements in technology that can improve the performance and efficiency of security-related applications like AI and analytics, which ultimately benefits defenders by enabling faster threat detection and response.
Defender Context
While not directly about a cybersecurity threat, understanding how compute and data infrastructure are evolving is important for defenders. Optimizing data processing and reducing latency can also improve the performance of security tools that rely on real-time analytics, such as intrusion detection systems and SIEMs.