Market research agency: NVIDIA can earn US $300 million from ChatGPT
On March 7, the latest report released by the market research agency TrendForce Jibang Consulting pointed out that if the processing capacity of NVIDIA A100 graphics card is calculated, the operation of ChatGPT will require 30000 NVIDIA GPUs. At present, the price of NVIDIA A100 graphics card is between US $10000 and US $15000. The price depends on how many graphics cards OpenAI needs and whether NVIDIA will provide order discounts for AI companies. TrendForce estimates that Nvidia can earn more than $300 million.
Interpretation of this information:
The latest report from market research agency TrendForce Jibang Consulting stated that the operation of ChatGPT, a neural network-based conversational AI, will require 30,000 NVIDIA A100 graphics cards to function. The processing capacity of the A100 is so high that it is currently estimated to be the only GPU that can handle the demands of ChatGPT. The cost for these graphics cards is steep, ranging from $10,000 to $15,000, depending on the number OpenAI needs and the possibility of order discounts for AI companies from NVIDIA. Based on this estimate, TrendForce predicts that NVIDIA stands to generate upwards of $300 million.
The message highlights the technological requirements of ChatGPT, an AI system that uses natural language processing techniques to mimic human-like conversations. The report indicates that the processing demands of ChatGPT are so high that only the A100 can handle the computational load. This speaks to the advanced nature of the ChatGPT system and the need for high-performance computing.
The message also highlights the cost of running ChatGPT, which comes to approximately $300 million based on the price of the NVIDIA A100 cards. This can lead to an extrapolation of the cost to many businesses and developers who want to create similar applications that use neural networks and machine learning.
Lastly, the report touches on the business prospects for NVIDIA, who is poised to profit from the performance requirements of the ChatGPT system. As one of the leading hardware providers for AI and machine learning applications, NVIDIA is in a prime position to capitalize on the technological advances in the industry. It is possible that this trend can lead to increased investment in the development of advanced AI hardware, which can further drive innovation in the field.
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