Nvidia's next-gen Blackwell AI Superchips could cost up to $70,000 — fully-equipped server racks reportedly range up to $3,000,000 or more

Nvidia Blackwell GTC 2024 Keynote
(Image credit: Nvidia)

Nvidia's Blackwell GPUs for AI applications will be more expensive than the company's Hopper-based processors, according to analysts from HSBC cited by @firstadopter, a senior writer from Barron's. The analysts claim that one GB200 superchip (CPU+GPUs) could cost up to $70,000. However, Nvidia may be more inclined to sell servers based on the Blackwell GPUs rather than selling chips separately, especially given that the B200 NVL72 servers are projected to cost up to $3 million apiece.

HSBC estimates that Nvidia's 'entry' B100 GPU will have an average selling price (ASP) between $30,000 and $35,000, which is at least within the range of the price of Nvidia's H100. The more powerful GB200, which combines a single Grace CPU with two B200 GPUs, will reportedly cost between $60,000 and $70,000. And let's be real: It might actually end up costing quite a bit more than that, as these are merely analyst estimates.

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.

  • Giroro
    Has anybody, other than Nvidia, figured out how to make money with one of these things?
    Reply
  • Lucky_SLS
    ^ They will do that when they figure out how to be competitive with Nvidia's offerings...
    Reply
  • spongiemaster
    Lucky_SLS said:
    ^ They will do that when they figure out how to be competitive with Nvidia's offerings...
    I don't think he meant the competition, I think he meant the customers. How are companies using these systems for AI tasks to generate revenue.
    Reply
  • Lucky_SLS
    spongiemaster said:
    I don't think he meant the competition, I think he meant the customers. How are companies using these systems for AI tasks to generate revenue.

    When they learn how to be competitive with OpenAI I guess XD

    Those GB200 chips are definitely not marketed towards budget startup AI companies.
    Reply
  • palladin9479
    Giroro said:
    Has anybody, other than Nvidia, figured out how to make money with one of these things?

    Yes and no, it depends what market you are in. While everyone is busy drooling over a better chatbot, the real money is in data analytics and forecasting. I've said it before but all these "AI" algorithms are doing is predicting "yes and". The "training" is just analyzing ridiculous amounts of data and building a model that correlates every data point with every other data point to form a giant probability mode. Afterward you can feed it a string of data elements and it'll predict what the next elements should be. You say and it responds as the most likely following elements. The entire thing is just a pattern prediction system, in the case of natural language processing (NPL), which is what ChatGPT does, the patterns are in our English language lexicon.

    Now imagine feeding it the daily/hourly percentile price change of the S&P 500 for every day going back thirty or more years as "Training" data. Then putting in this weeks daily/hourly price and letting it "guess" next weeks price values. See how accurate it was, adjust the model, feed more data, then do another estimation run. Keep doing this until it starts to accurately predict the patterns. Congrats you can now almost print money.
    Reply
  • umeng2002_2
    Giroro said:
    Has anybody, other than Nvidia, figured out how to make money with one of these things?

    Take grant money from governments for research and sell half-working AI technology to other companies.
    Reply
  • neojack
    it's just the same as the internet bubble back in the 90's
    remember AOL ? no me neither

    major players will have crashed on the ground when the dust will settle.

    It's a gold rush, and NVidia sells the shovels....
    Reply
  • ekio
    LOL what a plain sight scam…
    Reply
  • slightnitpick
    palladin9479 said:
    Now imagine feeding it the daily/hourly percentile price change of the S&P 500 for every day going back thirty or more years as "Training" data. Then putting in this weeks daily/hourly price and letting it "guess" next weeks price values. See how accurate it was, adjust the model, feed more data, then do another estimation run. Keep doing this until it starts to accurately predict the patterns. Congrats you can now almost print money.
    Really bad idea. You'd also want to feed it the real-time news feed that the traders were trading on back in the day. As well as any other particulars that impact buying and selling on the market that you can think of and that you have means of getting real-time or close to real-time data of today. Random events such as obituaries of company owners, cyclical events such as benefits open enrollment, et cetera.

    You'll still miss some black swan events, but at least you won't be trading algorithmically based solely on prior trades. That sort of trading is already locked up, and isn't going to be realistically improved with a modern AI engine on modern hardware.
    Reply
  • Dntknwitall
    To me this is all just a cash grab. It is marketed as the future technology that has value just like all past technology has, and it gets companies like Nvidia filthy Rich then they just keep pumping out new ideas that sell to keep generating flow in a technology that they master and everyone wants. The world is just a game of Monopoly, everyone is trying to get rich but only a few really get there. This is what the meaning of life has become and honestly the future looks really boring and I think that is why major powers are trying to reset the balance, but some (the evil ones) just want to balance it towards themselves. Great future the next generations have to look forward to.
    Reply