Tesla is a big car company that wants to make smart cars. They need special computer parts called Nvidia H100 chips to help them think and learn. Tesla's boss, Elon Musk, said they already have some of these chips and want to get more by the end of the year. These chips are very important for making cool robots and other smart things that Tesla is working on. If they get enough of these chips, Tesla will be one of Nvidia's best customers, even better than big companies like Amazon and Google. Read from source...

- The article title is misleading and sensationalized. It implies that Musk has a "big bet" on Nvidia chips, but it does not provide any evidence or analysis of the potential risks and rewards of this partnership. A more accurate title would be something like "Tesla Plans to Increase its Use of Nvidia Chips for AI Projects".
- The article uses outdated information and sources. For example, it mentions that Tesla has 35,000 H100 chips as of April 24, 2024, but this data is from CNBC, which published a report on March 18, 2024. The article also does not cite any other sources or experts to support its claims about Tesla's AI initiatives and Nvidia's chips.
- The article makes unsubstantiated assertions and assumptions. For instance, it states that Tesla may surpass Amazon and Google as a top Nvidia customer by the end of the year, but it does not provide any data or projections to back this up. It also assumes that these companies are currently major customers of Nvidia, without explaining why or how they use its chips.
- The article uses emotional language and appeals to authority. For example, it refers to Musk's AI projects as "advanced" and "crucial", but it does not define what these terms mean or provide any evidence of their importance or innovation. It also quotes Musk himself as an authority on Tesla's AI strategy, without questioning his motives or credibility.
- The article lacks critical analysis and objective perspective. It does not compare Tesla's AI strategy with other companies or competitors in the same industry or field. It also does not examine the implications or consequences of Tesla's reliance on Nvidia chips, such as the environmental impact, ethical issues, or technical challenges.