Nvidia Launches World's Most Powerful AI Chip, GB200: Reduces Cost and Energy Consumption by Up to 25x Over H100 GPU

Nvidia CEO Jensen Huang announced the launch of a new AI chip, the GB200.
The first Blackwell-based processors like the GB200 offer a huge performance upgrade for AI companies and are expected to solidify Nvidia's position as go-to supplier for these companies.
Nvidia Launches World's Most Powerful AI Chip, GB200: Reduces Cost and Energy Consumption by Up to 25x Over H100 GPU

Nvidia CEO Jensen Huang announced the launch of a new AI chip, the GB200, during Nvidia's developer conference in San Jose. The first Blackwell-based processors like the GB200 offer a huge performance upgrade for AI companies and are expected to solidify Nvidia's position as go-to supplier for these companies. This new chip is claimed to be the world's most powerful chip for AI, reducing cost and energy consumption by up to 25x over an H100 GPU. The GB200 can offer 30 times the performance for LLM inference workloads while also potentially being substantially more efficient than its predecessors.


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Confidence

96%

Doubts
  • It is not clear if there are any other companies that have developed a chip with similar performance as the GB200.

Sources

78%

The overall score is a weighted number that takes into account conflict of interest, bias, deception and other practices that undermine the credibility of the source. It is calculated as:
(Site Conflicts Of Interest + Author Conflicts Of Interest) / 2.0 * 0.2 + ArticleBiasScore * 0.20 + UniquePointsScore * 0.05 + DeceptionScore * 0.20 + ReadabilityScore * 0.05 + FallacyScore * 0.20

A score that takes into consideration the content for flow, interruptions with ads, and overt search engine optimization techniques that makes the content hard to understand

Nvidia CEO Jensen Huang announces new AI chips: 'We need bigger GPUs'

CNBC News Kif Leswing Monday, 18 March 2024 20:28
  • Unique Points
    • The first Blackwell chip is called the GB200 and will ship later this year.
    • Blackwell-based processors, like the GB200, offer a huge performance upgrade for AI companies.
    • Nvidia rolled out a new set of tools for automakers working on self-driving cars.
  • Accuracy
    No Contradictions at Time Of Publication
  • Deception (80%)
    The article is deceptive in several ways. Firstly, the title of the article suggests that Nvidia CEO Jensen Huang announced new AI chips and software for running artificial intelligence models. However, this statement is not entirely accurate as it does not mention any specific chip or software being launched by Nvidia.
    • The first Blackwell chip is called the GB200 and will ship later this year.
  • Fallacies (85%)
    The article contains an appeal to authority fallacy when it states that Nvidia is the go-to supplier for AI companies. The author also uses inflammatory rhetoric by stating that Nvidia's share price has increased fivefold and total sales have more than tripled since OpenAI's ChatGPT kicked off the AI boom in late 2022, implying that this is a positive thing for Nvidia. Additionally, there are examples of logical fallacies such as false dilemma when it states that companies like Microsoft and Meta have spent billions of dollars buying Nvidia's chips.
    • The article contains an appeal to authority fallacy when it states that Nvidia is the go-to supplier for AI companies.
  • Bias (85%)
    The article is biased towards Nvidia and its new AI chips. The author uses language that deifies Nvidia's CEO Jensen Huang and portrays him as a visionary leader in the field of AI. Additionally, the article repeatedly mentions how companies like Microsoft and Meta have spent billions on buying Nvidia's chips, which creates an impression of exclusivity for Nvidia. The author also uses language that implies that other competitors are inferior to Nvidia and their products.
    • Companies like Microsoft and Meta have spent billions of dollars buying the chips.
      • NVIDIA CEO Jensen Huang delivers a keynote address during the NVIDIA GTC Artificial Intelligence Conference at SAP Center on March 18, 2024 in San Jose, California.
        • Nvidia shares fell more than 1% in extended trading on Monday.
        • Site Conflicts Of Interest (100%)
          None Found At Time Of Publication
        • Author Conflicts Of Interest (0%)
          None Found At Time Of Publication

        64%

        The overall score is a weighted number that takes into account conflict of interest, bias, deception and other practices that undermine the credibility of the source. It is calculated as:
        (Site Conflicts Of Interest + Author Conflicts Of Interest) / 2.0 * 0.2 + ArticleBiasScore * 0.20 + UniquePointsScore * 0.05 + DeceptionScore * 0.20 + ReadabilityScore * 0.05 + FallacyScore * 0.20

        A score that takes into consideration the content for flow, interruptions with ads, and overt search engine optimization techniques that makes the content hard to understand

        Nvidia's keynote at GTC held some surprises

        TechCrunch Haje Jan Tuesday, 19 March 2024 02:37
        • Unique Points
          • Nvidia CEO Jensen Huang drew parallels between a concert and his keynote at GTC, which was tech-heavy and acronym-riddled.
          • The company rolled out a new set of tools for automakers working on self-driving cars, doubling down on its major player status in robotics.
        • Accuracy
          No Contradictions at Time Of Publication
        • Deception (30%)
          The article is deceptive in several ways. Firstly, the title and body of the article suggest that Nvidia's keynote at GTC held some surprises when in fact it was a return to their original mission. Secondly, Huang used analogies such as comparing GPUs to concerts which are not relevant or accurate. Thirdly, Huang made exaggerated claims about Blackwell platform and its capabilities without providing any evidence.
          • The title of the article suggests that Nvidia's keynote at GTC held some surprises when in fact it was a return to their original mission.
        • Fallacies (75%)
          The article contains several fallacies. The author uses a dichotomous depiction of the audience's reaction to Nvidia CEO Jensen Huang's keynote at GTC by describing it as either being in favor or not understanding his message. This is an example of black and white thinking, which oversimplifies complex situations.
          • SAN JOSE — “I hope you realize this is not a concert,” said Nvidia President Jensen Huang to an audience so large, it filled up the SAP Center in San Jose. This is how he introduced what is perhaps the complete opposite of a concert: the company’s GTC event.
          • The venue was, in a word, very concert-y.
        • Bias (80%)
          The article contains examples of religious bias and monetary bias. The author uses language that dehumanizes those who hold different beliefs than him, such as when he says 'all of a sudden, you're in the wrong place.' This is an example of religious bias because it implies that anyone who does not share Nvidia's mission to push general computing past its limits is misguided and should be excluded. Additionally, the author mentions that Nvidia has $10 billion worth of equipment on hand for this event, which suggests a monetary bias as he emphasizes the company's wealth.
          • all of a sudden, you're in the wrong place
            • Nvidia CEO Jensen Huang used language that dehumanized those who hold different beliefs than him.
            • Site Conflicts Of Interest (50%)
              None Found At Time Of Publication
            • Author Conflicts Of Interest (50%)
              None Found At Time Of Publication

            76%

            The overall score is a weighted number that takes into account conflict of interest, bias, deception and other practices that undermine the credibility of the source. It is calculated as:
            (Site Conflicts Of Interest + Author Conflicts Of Interest) / 2.0 * 0.2 + ArticleBiasScore * 0.20 + UniquePointsScore * 0.05 + DeceptionScore * 0.20 + ReadabilityScore * 0.05 + FallacyScore * 0.20

            A score that takes into consideration the content for flow, interruptions with ads, and overt search engine optimization techniques that makes the content hard to understand

            Nvidia reveals Blackwell B200 GPU, the “world’s most powerful chip” for AI

            The Verge Sean Hollister Monday, 18 March 2024 20:39
            • Unique Points
              • Nvidia has revealed the Blackwell B200 GPU, which is claimed to be the world's most powerful chip for AI.
              • The new GPU reduces cost and energy consumption by up to 25x over an H100.
              • Training a 1.8 trillion parameter model would have previously taken 8,000 Hopper GPUs and 15 megawatts of power, but today it can be done with just four megawatts using the Blackwell GPU.
            • Accuracy
              • Nvidia CEO Jensen Huang says that system can deploy a 27-trillion-parameter model.
            • Deception (75%)
              I found deception in this article through emotional manipulation and selective reporting. The author uses sensational language to describe Nvidia's new GPU as the 'world's most powerful chip for AI', which is an opinionated statement that implies a factual claim without providing evidence or linking to peer-reviewed studies.
              • It “reduces cost and energy consumption by up to 25x” over an H100, says Nvidia.
              • Training a 1.8 trillion parameter model would have previously taken 8,000 Hopper GPUs and 15 megawatts of power, Nvidia claims.
              • Nvidia reveals Blackwell B200 GPU, the “world’s most powerful chip” for AI
            • Fallacies (85%)
              The article contains several fallacies. The author uses an appeal to authority by stating that Nvidia's H100 AI chip made the company a multitrillion-dollar company and may be worth more than Alphabet and Amazon. This is not necessarily true as there are many factors that contribute to a company's success, including market conditions, competition, and innovation. The author also uses inflammatory rhetoric by stating that Nvidia is about to extend its lead in the AI industry with the new Blackwell B200 GPU and GB200 superchip. This statement may be true or false depending on how well these products perform compared to their competitors, but it is not necessarily a factual claim. The author also uses dichotomous depiction by stating that Nvidia's CEO says 2,000 Blackwell GPUs can do what previously took 8,000 Hopper GPUs and 15 megawatts of power while consuming just four megawatts. This statement may be true or false depending on the actual performance of these products in real-world scenarios.
              • The author uses an appeal to authority by stating that Nvidia's H100 AI chip made the company a multitrillion-dollar company and may be worth more than Alphabet and Amazon. This is not necessarily true as there are many factors that contribute to a company's success, including market conditions, competition, and innovation.
              • The author uses inflammatory rhetoric by stating that Nvidia is about to extend its lead in the AI industry with the new Blackwell B200 GPU and GB200 superchip. This statement may be true or false depending on how well these products perform compared to their competitors, but it is not necessarily a factual claim.
              • The author uses dichotomous depiction by stating that Nvidia's CEO says 2,000 Blackwell GPUs can do what previously took 8,000 Hopper GPUs and 15 megawatts of power while consuming just four megawatts. This statement may be true or false depending on the actual performance of these products in real-world scenarios.
            • Bias (85%)
              The article is biased towards Nvidia and its new Blackwell B200 GPU. The author uses language that deifies Nvidia's CEO Jensen Huang and his company, such as calling the H100 AI chip a 'must-have', saying it made Nvidia a multitrillion dollar company, and claiming that competitors are fighting to catch up. Additionally, the article repeatedly mentions how much better the Blackwell B200 GPU is than its predecessors in terms of performance and efficiency without providing any context or comparison with other GPUs on the market.
              • Nvidia CEO Jensen Huang holds up his new GPU on the left, next to an H100 on the right
                • On a GPT-3 LLM benchmark with 175 billion parameters, Nvidia says the GB200 has a somewhat more modest seven times the performance of an H100
                • Site Conflicts Of Interest (50%)
                  None Found At Time Of Publication
                • Author Conflicts Of Interest (50%)
                  None Found At Time Of Publication