AI Chips
GPUs and other AI Chips
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Google Cloud Next 2024 was Google’s most impressive assertion yet that it has the AI scale advantage and is determined to use it.
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Nvidia’s GTC was an absolute spectacle; it was also a different kind of keynote than before ChatGPT, which is related to Nvidia’s need to dig a new kind of software moat.
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Moore’s Law is not yet dead, nor is Moore’s Precept, even if AI computes differently. Addressing both is the key to succeeding with the China chip ban.
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Anthropic’s New TPU Deal, Anthropic’s Computing Crunch, The Anthropic-Google Alliance
Anthropic needs compute, and Google has the most: it’s a natural partnership, particularly for Google.
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Jensen Huang and Andy Grove, Groq LPUs and Vera CPUs, Hotel California
GTC 2026 marked an important inflection point for Nvidia, as the company is selling multiple architectures, instead of focusing on just one GPU. The motivation is serve all needs and keep all customers.
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An Interview with Nvidia CEO Jensen Huang About Accelerated Computing
An interview with Nvidia CEO Jensen Huang about his GTC 2026 keynote, navigating China and DC, and remembering Nvidia’s true nature.
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Anthropic’s Skyrocketing Revenue, A Contract Compromise?, Nvidia Earnings
Anthropic’s enterprise business is reaching escape velocity, which increases the importance of finding a compromise with the government. Then, agents dramatically increase demand for Nvidia chips, even if they threaten software.
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Thin Is In
Thick clients were the dominant form of device throughout the PC and mobile era; in an AI world, however, thin clients make much more sense.
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Microsoft and Software Survival
Microsoft got hammered on Wall Street for capacity allocation decisions that were the right ones: the software that wins will use AI to usurp other software.
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Intel Earnings, The Agentic Opportunity, Intel’s Mistaken Pessimism
Intel’s earnings were disappointing because the company is missing a huge opportunity by virtue of selling off its capacity.