Beyond the simple training-inference binary, Arm's CEO sees a third category: smaller, specialized models for reinforcement learning. These chips will handle both training and inference, acting like 'student teachers' taught by giant foundational models.
During a routine roadmap review, Nvidia's CEO unexpectedly abolished a major product line and reassigned a third of the company's engineers. This exemplifies the fearless, rapid, and decisive leadership required to navigate fast-moving tech markets.
Limiting chip exports to certain nations will force them to develop their own parallel hardware and software. This bifurcation creates a new global competitor and risks making the West's technology stack obsolete if the rival ecosystem becomes dominant.
Nvidia dominates AI because its GPU architecture was perfect for the new, highly parallel workload of AI training. Market leadership isn't just about having the best chip, but about having the right architecture at the moment a new dominant computing task emerges.
In semiconductors, missing a key innovation cycle (like mobile or EUV manufacturing) is catastrophic. Leaders like TSMC attract top customers, which helps them improve their tech, creating a flywheel that makes it incredibly difficult for laggards like Intel to ever recover.
Arm's CEO argues the US has lost its 'muscle memory' for 24/7 manufacturing. The core issue is cultural: manufacturing isn't seen as a prestigious career, unlike in Taiwan where working for TSMC is highly esteemed. This cultural gap is a major hurdle for onshoring efforts.