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Small Models, Scarce Memory: Edge AI as the Answer to the AI Supply Crunch

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Event artwork for Small Models, Scarce Memory: Edge AI as the Answer to the AI Supply Crunch
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What to expect

Explore practical Edge AI strategies for tackling memory shortages in this online AIoT Hub Scotland meetup on 1 December 2026 at 6:00pm UTC.

Manisha Arora will examine how AI data centres’ demand for high-end memory is affecting prices, allocations and lead times across the wider technology sector. Framed as a design challenge rather than simply an inflation problem, the talk will outline three practical responses:

  • Building with smaller, quantised models and LoRA/QLoRA adaptation
  • Selecting hardware deliberately for constrained environments
  • Taking a smarter approach to memory sourcing

The session will also consider the pressures AI places on memory, energy and water. It is particularly relevant to MSMEs, SMEs, telecom vendors, manufacturers, architects and technical decision-makers exploring scalable Edge AI and AIoT systems. No required experience level is specified.

Manisha is a Cloud, Data, AI and Enterprise/Solution Architect and Consultant with more than 19 years of international experience. Her work spans Generative AI, agentic AI, RAG, multi-cloud architecture, AI governance and sovereign AI. Her recognitions include Women in Tech 100 (2024), 100 Power Women to Watch and Women in AI Ethics.

Hosted online by the IOT North – Scotland Meetup, also known as the AIoT Hub Scotland community. The attendee link will be visible to registered participants.

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