Invoking Rent's Rule and Amdahl's Law, Keller argues that memory and communication, not bigger processors, will define the future of AI infrastructure The post Jim Keller: ‘AI Still Obeys the Old Laws of Compute’ appeared first on EE Times .
As AI scales, the limitations of current compute architectures become more apparent, prompting industry leaders to articulate the next bottlenecks.
This perspective from a prominent chip architect re-frames the AI compute challenge, shifting focus from raw processing power to more holistic system design around memory and communication.
The emphasis for AI infrastructure development may shift towards memory innovations, interconnectivity, and system-level optimization, rather than simply larger or faster processors.
- · Memory manufacturers
- · Interconnect technology providers
- · System architects
- · Optimized software developers
- · Chip manufacturers focused solely on core compute
- · Companies neglecting memory bandwidth
- · Inefficient AI model developers
Increased R&D investment into advanced memory technologies and high-bandwidth interconnects will accelerate.
AI hardware will evolve into more distributed and memory-centric architectures, potentially leading to new chip designs and packaging innovations.
The competitive landscape for AI compute could broaden beyond traditional CPU/GPU vendors to include companies specializing in memory and communication fabrics.
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