Inside Intel’s Strategy to Compete With Nvidia in the AI-Chip Market
Summary
Over the past year, under new chief executive Pat Gelsinger, Intel has added staff and introduced new AI software for its expanding lineup of chips to improve AI-driven chatbots, facial recognition and movie recommendations, among other applications. Intel hopes the efficiency of that kind of division of labor could help companies optimize performance for their specific AI tasks and save money by cutting power consumption. Intel in 2019 bought Israeli startup Habana Labs, which makes chips designed specifically for training AI models—systems that spit out realistic-sounding sentences, for example—and for generating output from those models. While analysts say Intel’s strategy could help make it a more formidable competitor to Nvidia, its ability to tap the AI market hinges on delivering AI-targeted chips and related software on schedule. Intel has stumbled in chip-manufacturing technology in recent years, leaving it behind South Korea’s Samsung Electronics Co. and Taiwan Semiconductor Manufacturing Co. in the high-stakes race to make chips with the smallest transistors and best performance.
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