Inside, you will find a critical analysis of:
The Disaggregated Inference Stack: A breakdown of the three key phases—Prefill, Decode, and Orchestration—and why a single chip is no longer optimal, focusing on NVIDIA's CPX (for Prefill) and the new LPX (for Decode).
The SRAM Revolution: An in-depth look at Groq's SRAM-based LPU (Language Processing Unit) architecture, its deterministic speed, and why it’s a direct answer to the latency bottlenecks of generative AI.
Market Impact on HBM: An examination of how the rise of SRAM-based solutions for low-latency inference affects the demand and use cases for High-Bandwidth Memory (HBM).
The Coming Land Grab: A survey of the competitive landscape, including major SRAM-based accelerator startups like Cerebras, SambaNova, d-Matrix, and others, that are now prime targets for acquisition.
AMD's Urgent Move: A clear-eyed assessment of what AMD must do immediately—including strategic M&A—to compete with NVIDIA in the critical agentic AI inference market.