Developers use the H100 to construct so-called large language models (LLMs), which are at the core of AI applications such as OpenAI’s ChatGPT. The operation of these systems is costly and requires computers capable of processing terabytes of data for days or weeks. In addition, they require substantial computing power so that the AI model can generate text, images, or predictions. In order to train AI models, especially large ones like GPT, hundreds of high-end Nvidia GPUs must collaborate. Let’s check out Nvidia H100 Price.
Nvidia H100 Price
Nvidia’s H100, a cutting-edge GPU designed for artificial intelligence systems, has been spotted on eBay for over $40,000. At least eight cards were listed between $39,995 and slightly less than $46,000, although some sellers offered it for as little as $35,000. The H100 is the company’s successor to the A100, which is known for powering popular AI models such as ChatGPT as a core component of Microsoft Azure’s cloud computing infrastructure, where the popular AI writer is hosted.
Increased Demand For Nvidia Gpus In Chatgpt Wake
Both prominent figures in the technology industry, such as John Carmack and the general public, have taken note of the rising prices of Nvidia GPUs. Specifically designed for specialized applications, the H100 deep learning GPU has seen its price skyrocket to a staggering $40,000 per unit, with some sellers listing it for several thousand dollars more. Recently, the retail price of the H100 was less than $35,000.
Convequity recently posted a Tweet about the increased share price of Nvidia. You can see the Tweet below.
It is perplexing to see $NVDA's recent surge in share price amid a general slash in the space. Although the revenue is down ~20% YoY, its EV/GP is at ~40x. If investors are pricing in a pickup in A100.H100 demand due to GPT/AI, then $TSM should benefit tremendously as well. pic.twitter.com/UI3Mvnljkr
— Convequity (@convequity) April 13, 2023
Utilizing hardware such as the H100 to develop language learning models and AI applications has recently elevated its desirability. Due to the enormous computational power required by these models, the demand for hardware such as Nvidia’s H100 has increased significantly. Chipsets are in high demand whether it’s a graphics card or a Processor. Recently, AMD Unveiled Ryzen 7000 Series Processors And RDNA3 GPUs For Laptops.
On The Horizon, New Hardware Advancements
Companies will likely develop new types of hardware to meet this rising demand. The tech industry has already designated 2023 as one of the most exciting years, with the possibility of new ChatGPT models generating public enthusiasm. Unsurprisingly, the emergence of new AI applications, specifically ChatGPT and its alternatives, has increased demand for related hardware.
As a result, Amazon, Microsoft, and Oracle, among other major cloud computing providers, are now offering the H100 series, also known as Hopper GPUs, to meet the growing demand. Nvidia claims that the H100 is the most powerful GPU for AI applications. For its training model, ChatGPT utilized up to 10,000 GPUs. As AI technology becomes increasingly prevalent, this is merely a glimpse of the future.
The Decline Of The Crypto Mining Industry
While the AI industry is thriving, the crypto-mining sector is experiencing a downturn. The excitement surrounding this market has waned since Ethereum’s transition to a proof-of-stake mechanism last year dealt a significant blow to this asset class. Although GPU mining is still available for alternative cryptocurrencies, their profitability is typically low and highly volatile.
The skyrocketing popularity of ChatGPT and comparable AI applications has had a remarkable impact on the GPU market, driving Nvidia H100 GPU prices to all-time highs.
Conclusion: Large language models and AI applications like ChatGPT have increased demand for powerful hardware like the Nvidia H100. To meet demand, major cloud computing providers are offering the H100, which now costs over $40,000. The tech industry will develop new hardware to meet these models’ growing computational needs. The decline of the crypto-mining industry has driven GPU prices to record highs for AI applications. As AI technology spreads, this industry will see exciting new advances.
Leave a Reply