NVIDIA Latest Blackwell Achieves Leaps in Both AI and Energy Efficiency
Nvidia emphasized that the latest Blackwell chip has achieved a leap in performance in AI computing, and the chip has always been designed with "improving energy efficiency" as the core.
NVIDIA demonstrated its latest Blackwell chip at the "AI Summit DC" conference in Washington, emphasizing its high performance and energy efficiency in artificial intelligence (AI) computing. Vice President Bob Pette pointed out that the core design of Blackwell chips is to improve energy efficiency.
Compared with the 5.5GW of power required to run OpenAI GPT-4 ten years ago, Blackwell chips currently require only 3GW of power to complete the same AI computing tasks, showing significant energy efficiency improvements. With the expansion of AI computing scale and application scope, the power demand of AI models has become the focus of the industry, and Blackwell's technological innovation helps alleviate this pressure.
Although most of NVIDIA's current revenue comes from data center-related products, the company is committed to expanding AI technology to more industries. NVIDIA emphasizes that AI is not only a general tool. Products such as ChatGPT are mainly based on network data, and its future vision is to develop more accurate and customized AI models for the specific needs of various industries.
Pette said these AI models will no longer be limited to replicating network information, but will be able to solve major challenges such as cancer treatment and optimize the operations of specific industries. NVIDIA hopes to use this to lead a new wave of industrial revolution, allowing AI to not only serve the technical field, but also penetrate into traditional industries such as healthcare and manufacturing.
NVIDIA's wide range of products and services, including chips, servers, AI models and application services, are designed to help enterprises integrate AI technology more easily.
In addition to the agent software developed by NVIDIA itself, many large enterprises have also begun to adopt NVIDIA's AI technology. For example, Deloitte uses NVIDIA's technology in its CyberSphere online security service. Telecom giant AT&T, retail company Lowe's and technology company ServiceNow etc. are also adopters of Nvidia’s AI technology.
These cooperations show that Nvidia is accelerating the commercialization of AI technology and gradually expanding into security services, retail, communications and other industries, further consolidating its dominant position in the AI market.
Nvidia specifically pointed out that AI technology is expected to revolutionize the healthcare industry, and the company has conducted strategic transformation over the past decade to this end. The company has developed an AI business focused on drug discovery and continues to explore the potential applications of AI technology in the medical field, including accelerating the new drug discovery process and improving the efficiency of medical services. As the application of AI models in healthcare increases, NVIDIA is expected to become an important force in promoting the technological revolution in this industry.
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