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NVIDIA introduces new Blackwell B200 AI superchip, stating it's 30 times more powerful than their current leading H100.
NVIDIA has unveiled a new series of AI GPUs named Blackwell. The premium B200 GPU superchip exhibits an impressive 20 petaflops of FP4 power, making it approximately 30 times quicker than the H100 and roughly 25 times more energy-efficient.
NVIDIA, a leader in AI hardware, has unexpectedly unveiled an entirely new platform. The new platform, named Blackwell, comprises a series of next-generation AI chips, which are projected to offer significant improvements in AI computing performance and energy efficiency.
The company's CEO, Jensen Huang, unveiled the new Blackwell series of AI chips at the annual GTC event in San Jose. These chips are expected to offer exceptional speed and efficiency, representing a considerable advancement in the operation of artificial intelligence machines.
NVIDIA's Blackwell chips, named after the mathematician David Harold Blackwell, showcase a significant improvement in performance compared to their previous counterparts, the H100 chips. Huang states that Blackwell chips are seven to 30 times quicker than the H100 and use substantially less power, specifically about 25 times less. The new Blackwell B200 GPU and GB200 "superchip" are at the forefront of this advancement.
Nvidia has announced that their newest B200 GPU has an impressive 20 petaflops of FP4 power, thanks to its 208 billion transistors. Moreover, Nvidia suggests that by combining two of these GPUs with a Grace CPU in the GB200 configuration, it could improve LLM inference workload performance by up to 30 times, potentially leading to much better efficiency. Nvidia believes that such a configuration could cut down costs and energy use by as much as 25 times compared to the H100.
This cutting-edge innovation is set to significantly transform the field of AI applications, given their potential for immense resource consumption.
Huang underscored the crucial function of Blackwell GPUs in propelling what he called a "new Industrial Revolution", drawing attention to the transformative power of generative AI. Backed by top firms from different sectors, NVIDIA is striving to unlock the full potential of AI, revolutionizing sectors and promoting innovation.
Blackwell chips stand out for their superior technological abilities, particularly their unrivaled performance features. They can reach speeds of up to 20 petaflops, which is four times more powerful than the computational capacity of the H100, making them significantly more efficient.
This significant advancement is made possible by incorporating 208 billion transistors, a major rise compared to the H100's 80 billion. NVIDIA accomplished this remarkable achievement by linking two large chip dies, allowing ultra-fast communication at a speed reaching up to 10 terabytes per second.
The importance of NVIDIA's role in the AI field is emphasized by praises from influential industry leaders. The necessity of NVIDIA's technology is proven by the approval of CEOs such as OpenAI's Sam Altman, Microsoft's Satya Nadella, and Alphabet's Sundar Pichai, who all have praised Blackwell's progress in performance. Tesla's CEO, Elon Musk, agreed with this view, applauding Blackwell as a driving force for AI computing innovation.
NVIDIA hasn't revealed the cost of Blackwell chips yet, but the hunger for their technology continues to grow. Even though NVIDIA's products come with a high cost, tech firms see possessing these chips as a prestigious milestone. Some startups have managed to gather funding simply because they have access to NVIDIA’s H100 AI GPUs. Given that the delivery wait times can go up to 11 months, obtaining these AI chips from NVIDIA has become a crucial goal for companies wanting to stay competitive in the AI field.
As NVIDIA consistently pioneers advancements in AI computing, the introduction of Blackwell marks a significant milestone in innovation and development, driving the industry to unparalleled levels of achievement.
(Incorporating information from various sources)
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