NVIDIA has unveiled the Blackwell platform at the GTC conference, marking a significant milestone in computing technology. This platform is set to revolutionize how organizations develop and implement real-time generative AI using trillion-parameter large language models, achieving up to 25 times lower cost and energy consumption compared to its predecessors.
The Blackwell GPU architecture incorporates six transformative technologies that propel advancements across various fields, including data processing, engineering simulation, electronic design automation, computer-aided drug design, quantum computing, and generative AI. These innovations position NVIDIA at the forefront of emerging industry opportunities.
Jensen Huang, NVIDIA's founder and CEO, emphasized the long-standing commitment to accelerated computing aimed at transformative breakthroughs like AI. He described generative AI as the defining technology of the era, with Blackwell serving as its driving force. Prominent companies such as Amazon Web Services, Dell Technologies, Google, Meta, Microsoft, OpenAI, Oracle, Tesla, and xAI are expected to adopt Blackwell.
Notable industry leaders have voiced their support for Blackwell. Sundar Pichai of Google highlighted the importance of infrastructure investment to support AI advancements. Andy Jassy of Amazon praised the deep collaboration with NVIDIA, which has spanned over 13 years, underscoring the suitability of Blackwell for AWS's advanced workloads. Michael Dell of Dell Technologies acknowledged the critical role of generative AI in creating smarter systems and the importance of their partnership with NVIDIA in driving innovation.
Blackwell is named in honor of David Harold Blackwell, a pioneering mathematician. The new architecture succeeds NVIDIA's Hopper architecture, launched two years ago. The Blackwell platform’s capabilities extend to AI training and real-time LLM inference for models scaling up to 10 trillion parameters.
Overall, the NVIDIA Blackwell platform represents a significant leap forward in accelerated computing and generative AI, promising substantial improvements in performance, cost-efficiency, and energy consumption. This development heralds a new era in AI and computing, with widespread implications for numerous industries and applications. Learn more about technology at www.huruschool.org/apply
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