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Why Nvidia’s New Blackwell Chip Is Key to the Next Stage of AI



Nvidia unveiled its most powerful chip architecture at the annual GPU Technology Conference, dubbed Woodstock for AI by some analysts. Chief Executive Officer Jensen Huang took the stage to show off the new Blackwell computing platform, headlined by the B200 chip, a 208-billion-transistor powerhouse that exceeds the performance of Nvidia’s already class-leading AI accelerators.

The chip promises to extend Nvidia’s lead on rivals at a time when major businesses and even nations are making AI development a priority. After riding Blackwell’s predecessor, Hopper, to surpass a valuation of more than $2 trillion, Nvidia is setting high expectations with its latest product. You can read all about the Hopper-driven revolution here.

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42 Comments

  1. And now they are designing the world's best CPU’s they got all the details from ARM in their collaboration and built one together. Nvidia tried to buy ARM for 40 billion cash! The EU would not allow it to have their only successful company to leave the UK 🇬🇧! Whats it been 4-5 years and now they are sick of cousin Lisa puffing her chest about being a strong competitor to Nvidia! Obviously, Jensen is still enjoying the hell out of kicking her butt on every level!
    As first cousins he actually worked for AMD briefly and they talked about starting a new company together and the reason why it never came to fruition is she demanded that she would be the CEO 😂! His response was no seriously you can certainly comprehend that I am a great leader and visionary. So, I guess I will see you in the Arena cuz! You will Envy what I build! Hence, the name NV for next version and then the ultimate name change as Nvidia= Envy
    Epic Jensen! Green logo = 💰💸💵💰💸💵💲💷💶💴💹🤑

  2. Why the liquid cooling in a data center? Why don't GPU's get clocked down like Xeon processors to help them more efficiently stay cool and last longer? Slower clocks save a lot of money long term in a data center.

  3. Only 4.5 times the performance with reduced precision. Tom's Hardware explains the caveat: "Blackwell B200 gets to that figure via a new FP4 number format, with twice the throughput as Hopper H100’s FP8 format. So, if we were comparing apples to apples and sticking with FP8, B200 ‘only’ offers 2.5X more theoretical FP8 compute than H100 (with sparsity)".

    4-bit floating-point numbers is crazy, very imprecise. But so are human neurons…

  4. I don't understand why nobody's calling the following out: GB200 is 2 GB100's on the same package. It will probably cost twice as much, consume twice as much power, and require twice the cooling performance. Comparing it to the H100 is pretty misleading. Jensen Huang boasting about the size of the die is moronic from a technical perspective. Smaller dies are more desirable. Yes, the interconnect technology between the dies is impressive, but the main benefit from the GB200 is the amount of space it will save per server rack.

  5. Nvidia is multiple Generations ahead of AMD and Intel. Intel is doomed. Yes Nvidia is making a lot of profit, but if they sold those chips at base price it would totally wipe out other companies. Competition is good for the industry

  6. Imaging one trillion ants underground building a castle. Each one ant has its own tasks and work together with a group on ants. Each one sharing one mind. You can't make this up. This technology is from another world. Q from Star Trek Next Generation.

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