No Data
Performance Comparison: Meta Platforms And Competitors In Interactive Media & Services Industry
Meta's self-developed chip has come to light and is said to have entered the small-scale deployment stage.
①Meta Platforms is testing its first self-developed chip for training AI systems, which has begun small-scale deployment, with plans to increase production for large-scale use if testing goes well; ②Meta's self-developed chip is a dedicated accelerator produced in collaboration with Taiwan Semiconductor, which is more energy-efficient than the GPUs typically used for AI workloads.
Uber Technologies Unusual Options Activity
Report: Meta collaborates with Taiwan Semiconductor to produce training chips.
Currently, this chip has entered the small-scale deployment phase. If testing goes smoothly, Meta plans to expand production for widespread application. Company Executives at Meta have indicated that they plan to start using self-developed chips for training by 2026, initially applying them to recommendation systems, then expanding to generative AI products such as the Meta AI chatbot.
Express News | Meta is working with TSMC to produce its first in-house AI training chip, Reuters reported.
Weathering the Downturn: Buffett's Blueprint for Navigating Market Uncertainty