Overview:

The next phase of technological development will be characterized by the combination of three things: 5G, Internet of Things (IoT) and Artificial Intelligence (AI). Use cases driven by this intelligence-centric connectivity will catalyze computing at the edge and endpoints as they effectively become mini data centers and bring a completely new paradigm to storage at the edge.

Key considerations include the following:

• It will involve AI model storage and handling streaming data from sensors at the edge.
• Lower power consumption at battery-powered endpoints and greater capacity requirements will be a factor.
• Endurance and reliability of storage in harsher environments becomes critical.
• The storage capacity of the network edge must be scalable as more endpoints connect.
• Managing streaming data effectively with adequate buffering in a low-latency, intermittently connected environment will be challenging.
• Avoiding data duplications and conflicts will be important to enable quick and efficient decision-making.

5G and AI bring complexity as orders of greater magnitude of data are generated and handled at the edge than in today’s traditional implementations. Planning storage early in the 5G IoT application design phase has become very important to adhere to the above requirements.

The key IoT applications to be driven by 5G and AI areindustrial IoTendpoints,edge gateways,roboticautomation across different verticals, andmobilityapplications fromvehiclestodrones. All these edge IoT applications have varying storage needs, which include performance, read/write speeds, data retention, capacity, temperature and endurance.

This report focuses on how thesekey endpoint and edge applicationswill evolve in the 5G era and, in particular, their impact on storage trends as designers and manufacturers move from today’s IoT to a5G-drivenintelligent IoT paradigm.

Table of Contents:

• Executive Summary
• 5G & AI Shaping IoT Endpoint and Edge Applications
• 5G Delivers Speed, Scale and Stability
• AI Brings Cloud Capabilities Closer
• Opportunity for Storage Players
• Code Storage – NOR to NAND Flash Transition
• Data Storage – Capability and Capacity Evolution
• Edge Storage Interface Trends
• Key Takeaways

Number of Pages:15
Author:Brady Wang and Neil Shah

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