NVIDIA NVDA has been the undisputed face of the first wave of artificial intelligence (AI), driving massive hardware deployment across global data centers. However, as cluster sizes scale to hundreds of thousands of chips, standard copper wiring is hitting its physical limits and light-based connections are becoming the critical enabler of AI growth.

Because every Nvidia GPU requires roughly six optical transceivers to function efficiently at scale, the physical data pathway has emerged as the next major hardware bottleneck.

Originally published on zacks.com, part of the BLOX Digital Content Exchange.

(0) comments

Welcome to the discussion.

Keep it Clean. Please avoid obscene, vulgar, lewd, racist or sexually-oriented language.
PLEASE TURN OFF YOUR CAPS LOCK.
Don't Threaten. Threats of harming another person will not be tolerated.
Be Truthful. Don't knowingly lie about anyone or anything.
Be Nice. No racism, sexism or any sort of -ism that is degrading to another person.
Be Proactive. Use the 'Report' link on each comment to let us know of abusive posts.
Share with Us. We'd love to hear eyewitness accounts, the history behind an article.