Facebook owner Meta Platforms plans to deploy into its data centers this year a new version of a custom chip aimed at supporting its AI push, according to an internal company document. The chip, a second generation of an in-house silicon line Meta announced last year, could help to reduce Meta's dependence on the Nvidia chips that dominate the market and control the spiraling costs associated with running AI workloads as it races to launch AI products. At the scale at which Meta operates, a successful deployment of its own chip could potentially shave off hundreds of millions of dollars in annual energy costs and billions in chip purchasing costs, according to Dylan Patel, founder of the silicon research group SemiAnalysis. A Meta spokesperson confirmed the plan to put the updated chip into production in 2024, saying it would work in coordination with the hundreds of thousands of off-the-shelf graphics processing units (GPUs)—the go-to chips for AI—the company was buying.