Reiner Pope of MatX on accelerating AI with transformer-optimized chips

Reiner Pope of MatX on accelerating AI with transformer-optimized chips – Cheeky Pint

Market views

Bullish

GOOGL— Google has strong AI foundations with TPUs, transformer research origins, and talent pool from Google Brain, positioning them well for AI success.
INFRA— Power and data center infrastructure are becoming critical bottlenecks for AI buildout, creating massive demand for infrastructure development.
TSMC— TSMC maintains durable monopoly position through conservative pricing that discourages competitors and technical advantages, with strong support for startup diversity.
AIMODELS— AI models will get significantly faster (order of magnitude) over next 3-5 years as new chip architectures combining HBM and SRAM enable both high throughput and low latency.

Bearish

AILABS— AI labs stopped publishing important research around 2022, signaling a shift from open innovation to secretive development that may slow overall progress.
NVDA— NVIDIA's CUDA advantage is less relevant for frontier AI labs who write custom software for each chip generation, reducing NVIDIA's moat in the highest-value market segment.

Not investment advice.