Mark Zuckerberg's game of catch-up has turned into an all-out scramble.
And that's saying a lot, because from the outside, Meta'sTo its credit, Meta has been working on AI research and development for years now. But the company's infrastructure has been severely lacking, hamstringing its efforts, according to the report. In an effort to catch up, Meta has reportedly been working to overhaul its woefully outdated development hardware for over a year now.
"We have a significant gap in our tooling, workflows and processes when it comes to developing for AI," Meta head of infrastructure Santosh Janardhan wrote in a September memo, as quoted byMeta would need to "fundamentally shift our physical infrastructure design, our software systems, and our approach to providing a stable platform" if it wants to compete, he argued.its extremely popular ChatGPT chatbot back in November.
Until last year, Meta was apparently still relying on CPUs for AI work, as opposed to graphics cards, which are far better suited for the job. The company was also working on a separate, custom, in-house chip, but the project was scrapped in favor of a new design that is rumored to be in development for release in 2025.
In an effort to plug that technological gap, Meta went on a shopping spree last year, spending billions on Nvidia GPUs.
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