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-- 119.160 Is NVIDIA still the favorite? According to Morgan Stanley, the ROI in the GPU rental market is extremely high.
On August 27, a team led by Joseph Moore from Morgan Stanley stated in a report that the GPU rental market has a highly profitable ROI.The ROI (Return on Investment) in the GPU rental market is extremely high.Still,due to supply shortages, the rental price of the H100 has decreased. However, based on the absolute price level, the investment payback period is less than one year.NVIDIA is still the safest choice for data center investors, according to the report.
Even with conservative estimates,Investment in datacenters generates an internal rate of return (IRR) of 30-50%.However, GPU rentals are performed at lower prices outside of mainstream platforms, which may affect investor returns.
これらのスポット・インスタンス価格が、さまざまなGPUベンダーが現在クリアしている価格だとすれば、AWS H100のスポット時間レンタル価格が約4.50ドルであることは、新しい100MWデータセンターに投資することで、Even with conservative estimates,Investment in datacenters generates an internal rate of return (IRR) of 30-50%.However, GPU rentals are performed at lower prices outside of mainstream platforms, which may affect investor returns.
Currently, GPU rentals are divided into spot instance pricing and On-Demand instance pricing. Morgan Stanley has examined the GPU spot instance pricing in the market and several GPU supply sources such as GPUlist.ai, a third-party marketplace platform.
Based on data, Morgan StanleyGPU supply is still relatively tight.投資家は過度に楽観視することはできないThe demand continues to exceed the supply.As shown in the graph below, the rental price of H100 has been declining over the past six months, but the absolute level of the price suggests that the return on investment in hardware is very high and the payback period is less than one year.
If these spot instance prices are the prices currently offered by various GPU vendors, then the spot rental price for AWS H100 is about $4.50, which means that investing in a new 100MW datacenter would result in a conservative IRR of 30% to 50%, according to Morgan Stanley.In the case of GPU investment, while high returns are possible, the lingering problem is that the rental prices for GPUs are lower for anyone other than major cloud service providers.また、GPUのレンタルは通常、より少ないソフトウェアと関連しているため、消費者は最良の価格を求めてクラウド・サービスを切り替えやすくなっている。
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According to Morgan Stanley, the internal rate of return on investment in datacenters is high, but the rental prices for GPUs are lower for anyone other than major cloud service providers.
The high profitability of GPU investments presents a challenge.Investors cannot be overly optimistic..
According to the data from GPUlist.ai, which is a marketplace for GPU computing, the median rental price per hour for the H100 is $2.27, which is more than 80% cheaper than AWS's price. クラウド・サービス・プロバイダーはMi300Xの価格をH100より25〜30％低く設定する必要
Also, GPU rentals are typically associated with less software, making it easier for consumers to switch to cloud services in search of the best prices.
The high profitability of GPU investments presents a challenge.Investors cannot be overly optimistic..
According to the data from GPUlist.ai, which is a marketplace for GPU computing, the median rental price per hour for the H100 is $2.27, which is more than 80% cheaper than AWS's price. クラウド・サービス・プロバイダーはMi300Xの価格をH100より25〜30％低く設定する必要
Also, GPU rentals are typically associated with less software, making it easier for consumers to switch to cloud services in search of the best prices.
There is also doubt about whether the spot instance price of GPUs satisfies consumers in every aspect. Being done.
At this pricing, GPUs have a high turnover ratio and do not seem suitable for training large-scale models that require stable computing resources over an extended period.
Furthermore, at the displayed low prices, morgan stanley pointed out that it is unclear whether GPUlist.ai can provide enough GPUs to meet consumer demand. Since training models often require intense operational hours, these GPUs are likely only used for experimenting or fine-tuning small-scale models.
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Nvidia remains the safest choice even now.
According to Morgan Stanley's theoretical datacenter model, in order to achieve the same revenue,Cloud service providers need to set the price of Mi300X 25-30% lower than H100.From this, the current pricing $Advanced Micro Devices (AMD.US)$is reasonable, and could potentially help AMD establish a foothold in the market. However, AMD's adoption in this field will be a key determinant of long-term success.
$NVIDIA (NVDA.US)$A 25% lower price, compared to
For cloud service providers, the opportunity cost and risk of options other than nvidia are significant, so nvidia remains a safe choice in the rental market.
At this pricing, GPUs have a high turnover ratio and do not seem suitable for training large-scale models that require stable computing resources over an extended period.
Furthermore, at the displayed low prices, morgan stanley pointed out that it is unclear whether GPUlist.ai can provide enough GPUs to meet consumer demand. Since training models often require intense operational hours, these GPUs are likely only used for experimenting or fine-tuning small-scale models.
According to Morgan Stanley's theoretical datacenter model, in order to achieve the same revenue,Cloud service providers need to set the price of Mi300X 25-30% lower than H100.From this, the current pricing $Advanced Micro Devices (AMD.US)$is reasonable, and could potentially help AMD establish a foothold in the market. However, AMD's adoption in this field will be a key determinant of long-term success.
$NVIDIA (NVDA.US)$A 25% lower price, compared to
For cloud service providers, the opportunity cost and risk of options other than nvidia are significant, so nvidia remains a safe choice in the rental market.
moomoo news of individual stocks Evelyn
Source: moomoo
This article utilizes automatic translation in some parts.
Source: moomoo
This article utilizes automatic translation in some parts.
Disclaimer: Moomoo Technologies Inc. is providing this content for information and educational use only.
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182076928鬼平 : This article is the most important and reliable article.
182126979 : Is there a contradiction between the headline and the content of the news regarding the supply and demand of GPUs?
181547098 : Which one is surpassing, demand or supply?
takamomo 182126979 : Fiercely agree!
takfujimaki : "The supply of GPUs exceeds demand, and the capital return rate is extremely high.
Based on data, Morgan Stanley believes that the supply of GPUs is still relatively tight and that demand continues to surpass supply." The headline and content are reversed. The content can be interpreted as correct.
大負けネコ(HYPER) : The headline reads 'Nvidia, still the favorite? Investment return rate in the GPU rental market is extremely high = Morgan Stanley.' The description states 'GPU supply exceeds demand, based on extremely high capital return rates, Morgan Stanley believes GPU supply remains relatively tight and demand continues to exceed supply.' The first line of this description 'GPU supply exceeds demand' should actually be 'Demand exceeds supply,' which is the complete opposite. This seems to be a 'simple mistake by the translation staff' at moomoo Securities. Even we Japanese may not immediately recall that 'demand=Demand' & 'supply=Supply,' right? It is likely a misunderstanding during translation by 'Chinese staff.' The crucial point is to 'carefully read the content and understand the gist of the article.' I have experience translating 'English economic papers into Japanese' in my economics classes, but when it comes down to it, I start thinking 'Which one was D and which one was S?' It's not something to make a big fuss about. Even in 'moomoo Securities' live video simultaneous interpretation in Japanese,' there are likely many typos, right? Interpreting or translating is quite challenging. If you outsource it to 'professional interpreters for simultaneous interpretation,' even 10 years ago, a 'S-Class interpreter' would have a daily rate of 0.1 million yen.' For 'Nvidia holders,' it's good news, isn't it? OK!
️
182483201 182126979 : If such an important point is mistaken, I wonder how much of this article can be trusted. It's a mistake in the headline, you know. The subject and predicate don't match, or sudden abbreviations that are not understood. Hmmm.
182076928鬼平 182076928鬼平 : Thank you for the likes!
182076928鬼平 182076928鬼平 : I apologize for the late reply. Thank you for the thumbs up
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