Nvidia's Blackwell GPUs are sold out for the next 12 months — chipmaker to gain market share in 2025

Nvidia Blackwell GTC 2024 Keynote
(Image credit: Nvidia)

Nvidia's Blackwell GPUs for AI and HPC faced a slight delay due to a yield-killing issue with packaging that required a redesign, but it looks like this did not impact demand for these processors. According to the company's management questioned by Morgan Stanley analysts (via Barron's), the supply of Nvidia Blackwell GPUs for the next 12 months has been sold out, which mimics a situation with Hopper GPUs supply several quarters ago. As a result, Nvidia is expected to gain market share next year (via Seeking Alpha).

Morgan Stanley analysts shared insights from recent meetings with Nvidia's leadership, including CEO Jensen Huang. During these meetings, it was revealed that orders for the Blackwell GPUs are already sold out for the next 12 months. This means new customers placing orders today must wait until late next year to receive their orders.

Also, as demand for AI GPUs is skyrocketing, it remains to be seen whether memory makers can supply enough HBM3E memory for leading-edge GPUs like Blackwell. In particular, Nvidia has yet to qualify Samsung's HBM3E memory for its Blackwell GPUs, another factor influencing supply.

Anton Shilov
Contributing Writer

Anton Shilov is a contributing writer at Tom’s Hardware. Over the past couple of decades, he has covered everything from CPUs and GPUs to supercomputers and from modern process technologies and latest fab tools to high-tech industry trends.

  • ekio
    Customer: what's the price to get one ?

    Jensen: It's 40 ... no wait ! uhhhhh 80k, no wait wait !!!! it's 280k per GPU, and that's a deal just for you, my friend ! Now how many thousand will you buy ? We only sell them per 1000 at the time, it is too expensive to make a box for each of them.
    Reply
  • EzzyB
    ekio said:
    Customer: what's the price to get one ?

    If you have to ask....
    Reply
  • Mattzun
    Can you avoid using "GPU" in headlines when you are talking about dedicated AI products.

    This does explain the limited availability and high prices for NVidia cards
    NVidia is dedicating just enough silicon to the lower margin product intended for deplorable poor people to keep people interested in NVidia GPUs.
    Just think of how much money Jensen is losing by building $2500 5090's instead of AI cards.
    Reply
  • Heiro78
    Mattzun said:
    Can you avoid using "GPU" in headlines when you are talking about dedicated AI products.

    This does explain the limited availability and high prices for NVidia cards
    NVidia is dedicating just enough silicon to the lower margin product intended for deplorable poor people to keep people interested in NVidia GPUs.
    Just think of how much money Jensen is losing by building $2500 5090's instead of AI cards.

    What would you suggest these AI processing units be called when NVIDIA itself calls it a GPU? I hate the name AI for all of these narrow intelligence models companies have. But it's a marketing gimmick to catch headlines. To the point where true AI will come and they'll have to invent another name for it
    Reply
  • Eximo
    Heiro78 said:
    What would you suggest these AI processing units be called when NVIDIA itself calls it a GPU? I hate the name AI for all of these narrow intelligence models companies have. But it's a marketing gimmick to catch headlines. To the point where true AI will come and they'll have to invent another name for it

    AGI is the commonly accepted term.
    Reply
  • DavidLejdar
    Sounds like Nvidia's AI revenue just hit a ceiling for the time being, doesn't it? Whereas AMD may have some spare Instinct MI325X accelerators.

    Might not see AMD's stock price double in the upcoming months - in particular, as many of Nvidia's customers lock themselves in to CUDA with ongoing projects. But the timing seems nice, to perhaps cash in a bit in a few months, for one of the flagship GPUs (desktop thingy).
    Reply
  • Kondamin
    are they still producing Ada hardware or did they completely stop that line ?
    Reply