Called Jericho3-AI, the chip is designed to reduce the time taken to complete any AI task.
With the rise of AI apps like Alphabet‘s Bard and OpenAI’s ChatGPT, new challenges have emerged for the networks inside data centres.
Enormous amounts of data are used to train these systems to enable them to give human-like responses to the prompts.
The task is too big for one computer chip to handle; therefore, it is divided across tens of thousands of graphics processing units (GPUs), which then operate as one massive computer to complete it.
Broadcom claims that Jericho3-AI can connect up to 32,000 GPUs.
How well do you really know your competitors?
Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge.
Your download email will arrive shortly
Not ready to buy yet? Download a free sample
We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below formBy GlobalData
The chipmaker added that the Jericho3-AI fabric delivers 40% less power per gigabit while providing 26 petabits per second of Ethernet capacity, nearly four times as much as the previous generation.
In comparison to other networking solutions, the Jericho3-AI fabric is claimed to speed up project completion times for AI benchmarks by at least 10%.
Broadcom general manager of Core Switching Group Ram Velaga said: “The benchmark for AI networking is reducing the time and effort it takes to complete the training and inference of large-scale AI models.
Jericho3-AI delivers a significant reduction in job completion time compared to any other alternative in the market.”