Things got serious! NVIDIA responds to AI chip shortage

NVIDIA has given an official response to rumors that the release date of the new AI chip series Blackwell may be postponed. The company stated that demand for Hopper chips is very high and Blackwell samples have begun to be tested on a large scale. NVIDIA has announced that it plans to increase production in the second half of the year and has not made any further comments on the rumors at this time. So will chip deliveries be disrupted?

NVIDIA responds to AI chip crisis: Blackwell samples are being tested extensively, production will increase

According to reports from The Information, it was stated that there were design errors in Blackwell AI chips and that these errors could delay the release of the chips by at least three months. This has angered major customers such as Meta, Google and Microsoft. The report states that NVIDIA informed these large customers about potential delays. Latency can be a big problem for these companies whose AI projects are critical.

NVIDIA ordered additional 4nm chips from TSMC in July to meet customer demands. This order includes production of GPU chips on the Blackwell platform. will increase by 25 percent. This step is what NVIDIA will use in its AI servers and “the world’s most powerful AI chip” It will accelerate the production of Blackwell chips, which are described as

Large-scale production of Blackwell chips until early 2025 It is expected to be postponed. This delay could complicate NVIDIA’s efforts to maintain its leadership in the AI ​​chip market. However, the company is working hard to solve production problems and meet the demands of its customers.

NVIDIA is working with TSMC to overcome problems in the design and manufacturing processes of AI chips. Blackwell chips are likely to deliver a buzzworthy innovation for AI and machine learning applications. The company claims that these chips will redefine industry standards with their high performance and energy efficiency.

The Blackwell platform is the newest technology NVIDIA has ever developed for AI servers and data centers. However, delays in manufacturing processes and design errors can certainly make it difficult to achieve these goals. What are you thinking? Will this delay cause a major disruption to AI projects? You can write your opinions in the comments section below.