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NVIDIA’s processing capacity powers OpenAI’s ChatGPT, expected to yield $300 million

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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 gr…

NVIDIAs processing capacity powers OpenAIs ChatGPT, expected to yield $300 million

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.

Market research agency: NVIDIA can earn US $300 million from ChatGPT

Interpretation of the news:


NVIDIA’s A100 graphics card has gained attention for its processing capacity which can be used to run OpenAI’s ChatGPT. According to the latest report by market research agency TrendForce Jibang Consulting, 30,000 NVIDIA GPUs would be required to operate ChatGPT. Currently, the price of NVIDIA’s A100 graphics card ranges between $10,000 and $15,000, depending on the requirements of companies like OpenAI and NVIDIA’s willingness to provide order discounts.

OpenAI’s ChatGPT operates as a chatbot, relying on artificial intelligence to mimic the natural flow of conversation. NVIDIA’s graphics card allows ChatGPT to operate on a significantly larger and more complex scale than previous iterations. The processing power enables OpenAI’s ChatGPT to learn and understand from greater amounts of text data and provide better and more accurate responses. As a result, the demand for NVIDIA’s A100 graphics card has increased, and the estimated revenue that NVIDIA could generate from ChatGPT surpasses $300 million.

The efficiency of NVIDIA’s processing capacity has enticed AI companies such as OpenAI to invest in the technology. However, there are concerns about the cost of the graphics cards and whether the supply can meet the demand. Companies that require a significant amount of GPUs for their operations may struggle to keep up with the price and supply of the graphics cards. Nonetheless, NVIDIA has been working to improve the production and supply of graphics cards, more recently introducing the GeForce RTX 3060 to increase supply.

In conclusion, NVIDIA’s A100 graphics card is proving to be an essential tool for AI operations, and the market for it continues to grow. OpenAI’s ChatGPT serves as an excellent example of how the processing power of the graphics card can be utilized to great effect. NVIDIA can expect to generate substantial revenue from the increased demand in their graphics cards, which is estimated to surpass $300 million. Companies such as NVIDIA must continue to improve the efficiency and supply of their products to meet the continually growing demand for the technology.

Overall, this message highlights the importance of high processing capacity for AI operations and its potential for generating revenue. It also emphasizes the need to keep up with the supply and demand of the technology to ensure its effective use.

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