Shulou(Shulou.com)11/24 Report--

Thank you, Mr. Air, a netizen of CTOnews.com, for your clue delivery! CTOnews.com, June 13 (Xinhua) Chinese Internet companies with cloud computing businesses have placed large orders with Nvidia after the Spring Festival this year, with Bytes ordering more than $1 billion of GPU from Nvidia this year, and another big company has orders of at least 1 billion yuan, according to later LatePost.

Tu Yuan Pexels, a person close to Nvidia, said that the total amount of A100 and H800 accelerator cards that have arrived and failed to arrive is 100000 yuan. Among them, H800 only started production in March this year. According to later disclosure, byte jump alone this year's orders may be close to the sum of Nvidia's commercial GPU sold in China last year.

According to a byte person, after the release of GPT-3 in June 2020, byte trained a generative language model with billions of parameters with the help of V100 computing card, but due to the limited scale of parameters, the generation ability of this model was general, and byte could not see its possibility of commercialization at that time.

Another Aliyun source said that Ali also actively purchased GPU in 2018-2019, when Ali purchased at least tens of thousands of pieces, including V100 and T4 calculation cards, of which about 1/10 was sent to Dharma for AI technology research and development, which was also used in the trillions parameter model M6 released in 2021.

The source mentioned that large companies such as Byte and Ali mainly discuss procurement with Nvidia directly, because agents and the secondary market are difficult to meet their huge demand, and Nvidia will give certain discounts according to the catalogue price and according to the purchase scale.

Currently, an A100 is priced at $10,000 on the Nvidia website (CTOnews.com Note: about 71500 yuan) and the H100 is $36000 (currently about 257000 yuan), while the A800 and H800 launched for the Chinese market last year are slightly lower, but the transaction price will definitely be higher due to reasons such as supply falling short of demand.

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