As AI models become more complex, data centre capacity is also expected to grow by two to six times by 2030. This will put pressure on network energy consumption and prompt investments to address these demands. In order to prepare for the age of AI, in this interesting report, learn how iconectiv; the authoritative partner of the communications industry for more than 30 years, sees the TruOps® Common Language® as an integral part of this preparedness.

In this report, you’ll explore:

• The scope of the challenges - While 5G and AI, in particular, offer benefits to network efficiency, these gains may be offset by the increased energy usage of a more powerful infrastructure required across the entire network stack.
• How measurement will help - iconectiv suggests, granular measurement and analysis of energy consumption metrics is key to identity upgrades to reduce OPEX and find where supply can be adjusted to meet demand.
• The right metrics - TruOps® Common Language® provides a globally unique, 10-character alphanumeric intelligent code as a single frame of reference for equipment management with insights across electrical requirements, heat dissipation and maximum power usage. This framework itself is as close to universal as possible for the global telecoms market.
• Why measurement matters - Getting granular will allow for design around local conditions and site specifications. This ensures equipment functions within optimal operational parameters, saving you money. When equipment works as best as it can, this extends the lifespan of that equipment, meaning you have fewer depreciation costs and less infrastructure waste.

Learn how informed network planning through locations is possible with TruOps® Common Language Location Identification (CLLI™) Codes and how a partner like iconectiv can support you to combine CLEI and CLLI Codes from the Common Language framework to gain the most efficiencies on your configuration.

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