Why Nvidia wants ARM, by WSJ

🤓 Huang’s Law, Silicon chips that power artificial intelligence more than double in performance every two years.

📟AI Goes from the cloud to the edge (dishwashers, smartphones, watches, hoovers)

🗜 ARM develops ultra-low-power CPUs and ML cores

💡This movement of AI processing from the cloud to the “edge”—that is, on the devices themselves—explains Nvidia’s desire to buy Arm, says Nexar co-founder and CEO Eran Shir.

🇨🇳The pace of improvement in AI-specific hardware will make possible a range of applications both utopian and dystopian,

📲Uses of mobile AI are multiplying, in phones and smart devices ranging from dishwashers to door locks to lightbulbs, as well as the millions of sensors making their way to cities, factories and industrial facilities. And chip designer Arm Holdings—whose patents Apple, among many tech companies large and small, licenses for its iPhone chips—is at the center of this revolution.

🐜Over the last three to five years, machine-learning networks have been increasing by orders of magnitude in efficiency, says Dennis Laudick, vice president of marketing in Arm’s machine-learning group. “Now it’s more about making things work in a smaller and smaller environment,” he adds.

Source: WSJ

PDP-11🚀

Why Nvidia wants ARM, by WSJ

🤓 Huang’s Law, Silicon chips that power artificial intelligence more than double in performance every two years.

📟AI Goes from the cloud to the edge (dishwashers, smartphones, watches, hoovers)

🗜 ARM develops ultra-low-power CPUs and ML cores

💡This movement of AI processing from the cloud to the “edge”—that is, on the devices themselves—explains Nvidia’s desire to buy Arm, says Nexar co-founder and CEO Eran Shir.

🇨🇳The pace of improvement in AI-specific hardware will make possible a range of applications both utopian and dystopian,

📲Uses of mobile AI are multiplying, in phones and smart devices ranging from dishwashers to door locks to lightbulbs, as well as the millions of sensors making their way to cities, factories and industrial facilities. And chip designer Arm Holdings—whose patents Apple, among many tech companies large and small, licenses for its iPhone chips—is at the center of this revolution.

🐜Over the last three to five years, machine-learning networks have been increasing by orders of magnitude in efficiency, says Dennis Laudick, vice president of marketing in Arm’s machine-learning group. “Now it’s more about making things work in a smaller and smaller environment,” he adds.

Source: WSJ

WSJ

Huang’s Law Is the New Moore’s Law, and Explains Why Nvidia Wants Arm

The rule that the same dollar buys twice the computing power every 18 months is no longer true, but a new law—which we named for the CEO of Nvidia, the company now most emblematic of commercial AI—is in full effect.

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801 viewsSep 21, 2020 at 07:54