Skip to content
  • Categories
  • Newsletter
  • Recent
  • AI Insights
  • Tags
  • Popular
  • World
  • Groups
Skins
  • Light
  • Brite
  • Cerulean
  • Cosmo
  • Flatly
  • Journal
  • Litera
  • Lumen
  • Lux
  • Materia
  • Minty
  • Morph
  • Pulse
  • Sandstone
  • Simplex
  • Sketchy
  • Spacelab
  • United
  • Yeti
  • Zephyr
  • Dark
  • Cyborg
  • Darkly
  • Quartz
  • Slate
  • Solar
  • Superhero
  • Vapor

  • Default (No Skin)
  • No Skin
Collapse
  1. Home
  2. AI Insights
  3. Jensen Huang Claims Even Free AMD Products Can't Compete - Nvidia Set to Make $300 Billion from AI with No Rivals
uSpeedo.ai - AI marketing assistant
Try uSpeedo.ai — Boost your marketing

Jensen Huang Claims Even Free AMD Products Can't Compete - Nvidia Set to Make $300 Billion from AI with No Rivals

Scheduled Pinned Locked Moved AI Insights
ai-articles
1 Posts 1 Posters 3 Views 1 Watching
  • Oldest to Newest
  • Newest to Oldest
  • Most Votes
Reply
  • Reply as topic
Log in to reply
This topic has been deleted. Only users with topic management privileges can see it.
  • baoshi.raoB Offline
    baoshi.raoB Offline
    baoshi.rao
    wrote last edited by
    #1

    As the biggest beneficiary of artificial intelligence, Nvidia has already started making huge profits, but this is far from enough.

    By 2026, NVIDIA is expected to generate up to $130 billion in revenue, five times higher than fiscal year 2023 (nearly $100 billion more than 2021), positioning Nvidia to dominate the next-generation AI computing market.

    Nvidia appears poised to generate $300 billion in AI-driven sales by 2027, adding another massive chunk to its already enormous market valuation. NVIDIA is expected to generate $87 billion in revenue from data center GPUs this year, representing a 150% increase compared to the previous year.

    Due to its overwhelming lead, CEO Jensen Huang stated in an interview that NVIDIA's GPUs are so good that even if competitors' AI chips were free, they "wouldn't be cheap enough" to surpass NVIDIA's GPUs.

    Huang further explained that when considering the total cost of ownership (TCO) for AI data centers, the pricing of NVIDIA's GPUs is not the critical factor.

    1 Reply Last reply
    0
    Reply
    • Reply as topic
    Log in to reply
    • Oldest to Newest
    • Newest to Oldest
    • Most Votes


    • Login

    • Don't have an account? Register

    • Login or register to search.
    • First post
      Last post
    0
    • Categories
    • Newsletter
    • Recent
    • AI Insights
    • Tags
    • Popular
    • World
    • Groups