The ongoing shift from generative AI (genAI) to agentic AI provides an opportunity for enterprises to move to more nimble and less expensive forms of computing, according to analysts.
Early AI models were largely built on expensive GPUs from Nvidia and AMD that offered raw processing power. But newer agentic AI tools, rooted in business process and workflow management, can run on more efficient, cost-effective hardware.
As a result, IT decision-makers who still think they require GPUs for anything AI-related need to reconsider their hardware options in terms of both cost and capabilities, analysts said.
“A better way of thinking about this is the cost of AI compute and now agentic AI platform services or systems,” said Leonard Lee, principal analyst at Next Curve. “’AI computing’ or ‘accelerated computing’ has clearly transcended the GPU as an inference accelerator.”
The new hardware options include CPUs and specialized AI chips, also known as ASICs in semiconductor parlance. Although
Alphabet's strategic AI advancements and custom chip development could reshape tech industry dynamics, challenging Nvidia's market position.
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The post Penguin Solutions (PENG) Stock Rockets 13% on AMD Partnership and Upgraded Revenue Forecast appeared on BitcoinEthereumNews.com.
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