New Delhi, April 11: Meta has launched its next-generation AI chip, the Meta Training and Inference Accelerator (MTIA). The step is anticipated to have a significant impact for the tech giant by potentially reducing its reliance on chip industry leader NVIDIA. The Next-gen MTIA chip stands as the progression from its predecessor, the MTIA v1 introduced in 2023. It operates various models, including those tailored for ranking and recommending display advertisements across Meta's platforms such as Facebook.

As per a report of Times of India, Meta debuts its new generation of AI chip, signaling a significant entrance into the competitive world of AI hardware. The latest version of the MTIA chip might represent a breakthrough in performance and efficiency and is expected to exceed the current industry standards. Meta Llama 3 AI Model To Launch Soon; Know What To Expect From Upcoming Gen-AI Model From Meta.

Meta Advancements in AI Chip Technology

Meta has acknowledged that the chip is not intended to replace traditional GPUs entirely, indicating a more measured approach to the AI hardware. Meta's MTIA chip architecture is designed with a focus on delivering the optimal balance between computing power, memory bandwidth and memory capacity for serving ranking and recommendation models.

Currently, the MTIA chip is already in use in Meta's data centers for tasks such as ad ranking and recommendation, but it has not yet been utilised for the company's primary focus on generative AI training. The high cost associated with training cutting-edge generative AI models makes in-house hardware like the MTIA a potentially cost-effective solution. Apple Sends Threat Notifications To Select Users in 92 Countries, Including India, About ‘Mercenary Spyware’ Like Pegasus From NSO Group.

Meta is projected to spend a significant amount on GPUs this year, which is projected to be USD 18 Billion and might further emphasises the benefits of developing their own chips as a cost-saving measure. By creating their own hardware, Meta might reduce its reliance on external suppliers and better control the development and deployment of its AI technology.

(The above story first appeared on LatestLY on Apr 11, 2024 05:03 PM IST. For more news and updates on politics, world, sports, entertainment and lifestyle, log on to our website latestly.com).