We all are well aware of NVIDIA and the AI "gold mine" that has recently taken everyone by storm. In the midst of everything stands Team Green's H100 AI GPUs, which are simply the most sought-after piece of hardware for AI at the moment with everyone trying to get hands on one to power their AI needs.
This article isn't particularly news but highlights readers on the current situation of the AI industry, and how companies are revolving around the H100 GPUs for their "future".
Before we go into the crux of the article, giving a recap becomes a necessity. So, at the start of 2022, everything was going fine with the usual developments. However, with November's arrival, a revolutionary application emerged named "ChatGPT", which established the foundations of the AI hype. While we cannot categorize "ChatGPT" as the founder of the AI boom, we certainly can say that it acted like a catalyst. With it emerged competitors like Microsoft and Google, getting forced into an AI race to release generative AI applications.
You might say, where does NVIDIA come in here? The backbone of generative AI involves hefty LLM (Large Language Model) training periods, and the NVIDIA AI GPUs come in clutch here. We won't go into tech specs and factual bits since that makes things dull and no fun to read. However, if are into getting to know specifics, we are dropping a table below, highlighting every AI GPU release from NVIDIA, dating back to Tesla models.
The question still isn't answered here, why the H100s? Well, we are getting there. NVIDIA's H100 is the company's highest-end offering, providing immense computing capabilities. One might argue that the bump in performance brings in higher costing, but companies tend to order huge volumes, and
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