The world's largest AI event “NVIDIA GTC 2024” will be held on March 18th! Is NVIDIA's stock price soaring again?
NVIDIA in the USMarch 18 to 21NVIDIA's world's largest AI and GPU conference “GTC 2024” will be held over (US time).
According to NVIDIA, “GTC 2024” includes keynote speeches by CEO Jenson Huang, over 900 sessions, over 300 exhibitions, and more than 20 technical workshops covering topics such as generative AI. The most advanced examples and technology will be shown.
Meanwhile, what was the keynote speech by CEO Jen Sung HuangTue, Mar 19 at 5 a.m. (Japan time)。
Meanwhile, what was the keynote speech by CEO Jen Sung HuangTue, Mar 19 at 5 a.m. (Japan time)。
Why is NVIDIAGTC important?
According to market participants, in the current GTC, it is a next-generation architecture“Blackwell”、New chip “B100”、humanoid robotInformation on this is expected.
According to market participants, in the current GTC, it is a next-generation architecture“Blackwell”、New chip “B100”、humanoid robotInformation on this is expected.
Blackwell was adopted in the 2024 and 2025 roadmaps, and it is expected that TSMC's 3nm process will be used. It is said that the B100 and GB200 chips, which are attracting attention, will also adopt this architecture.
NVIDIA is expected to announce the Blackwell GB100 chip at this GTC conference. The B100 is expected to have twice the performance of its predecessor, increase in wide bandwidth storage capacity by 25%, and be equipped with a dedicated accelerator module. The chip is expected to be a powerful tool for large-scale language model (LLM) training and inference, and there is also a possibility that it will become a pillar of NVIDIA's 2025 earnings.
Regarding humanoid robots, sessions are scheduled to be held at this GTC from various aspects such as robot operation, navigation, perception, calculation, simulation/synthesis data, etc. In a recent interview, Mr. Huang revealed that there is a possibility that a basic robot model will appear next year.
Also, mention of a new inference platform and automotive chip and software business progress with MediaTek is also expected.
NVIDIA GTC period gain/fall rate
Is NVIDIA's stock too high?
On the 8th, NVIDIA's stock price fell sharply for the first time in 7 business days, and recorded the biggest decline since 9 months. Kathy Wood predicted and warned that growth would slow down this quarter due to the intensification of AI chip competition and supply catching up, and NVIDIA also commented on the AI boom with Cisco.
On the 8th, NVIDIA's stock price fell sharply for the first time in 7 business days, and recorded the biggest decline since 9 months. Kathy Wood predicted and warned that growth would slow down this quarter due to the intensification of AI chip competition and supply catching up, and NVIDIA also commented on the AI boom with Cisco.
Meanwhile, Morgan Stanley analyst Shawn Kim pointed out that the current AI boom is only in its early stages and has not yet reached the level of the 1999 dotcom bubble.
The dot com bubble began in 1994/12 and peaked in 2000/3. The profit growth rate of Cisco in the dot com bubble was 59%, and the expected PER was 138 times, but the current PER for NVIDIA is only 30 times, and the profit growth rate is 90%.
From a valuation standpoint or in the long run, it is unthinkable that NVIDIA is close to the top.
From a valuation standpoint or in the long run, it is unthinkable that NVIDIA is close to the top.
In the fourth quarter of fiscal year 2024, NVIDIA achieved revenue of 22.1 billion dollars and a gross profit margin (GAAP) of 76%. Wall Street investors, even if the current stock price of NVIDIA cannot be said to be “overvalued,”Is the company able to maintain such a high level of revenue growth and profit margins as competition and customer offensives intensifyI'm concerned.
Where exactly is NVIDIA's moat?
Mr. Juan recently gave a lecture at Stanford University”From a data center operation perspective, even if competitors provide chips to customers for free, the final cost of operation (TCO) will be higher than the cost of using NVIDIA” I commented.
Mr. Juan recently gave a lecture at Stanford University”From a data center operation perspective, even if competitors provide chips to customers for free, the final cost of operation (TCO) will be higher than the cost of using NVIDIA” I commented.
Technical analyst Aaron Rakers currently has 4.8 million developers using CUDA GPUs. Mr. Kress, CFO of NVIDIA, pointed out that “CUDA development platforms have continued to exist for close to 15 years, and everything NVIDIA runs on GPUs has backward compatibility and forward compatibility,” and “the CUDA programming paradigm and stack are deeply embedded in the AI ecosystem.”
Furthermore, NVIDIA is also accelerating business development such as DGX, NIC, switches, and optical components by utilizing the huge demand for in-house GPUs and the advantages of platforms.
「NVIDIA is not just a company that sells chips; it is a company that provides data center solutions”, “Building a platform is a different process from making a chip. Our focus is on making it possible to provide various components such as computing infrastructure, network infrastructure, memory, etc. at every data center level,” the company's management emphasized.
Check NVIDIA's latest target stock price!
Source: NVIDIA IR, Business Insider, Seeking Alpha, The Fly, Mynavi News, Nikkei Cross Tech, Semianalysis
-MOOMOO News Japan Stock Citron
-MOOMOO News Japan Stock Citron
This article uses automatic translation for some of its parts
Disclaimer: Moomoo Technologies Inc. is providing this content for information and educational use only.
Read more
Comment
Sign in to post a comment
masaru64 : There are many reasons why it can be achieved, but I can't find a reason why it cannot be achieved.
ししぽん : Considering that AI will be introduced to almost all industries in the future world, the cloud business will also have a large role ratio as an enterprise data center, and an unlimited number of CPUs and GPUs that can be generated along with huge data accumulation (storage) capacity will be required.
Since we are still in a situation where the future cannot be seen, stock prices are at a standstill, but if various AI are realized and put into practical use, NVIDIA stock might be a launch gimmick?
nimo0226 : “From a data center operation perspective, even if competitors provide chips to customers at no cost, the final cost of operation (TCO) will be higher than the cost of using NVIDIA.”
Nobinobi2929 : Cathy is jealous of NVIDIA. There are always only negative market comments.
The rise in semiconductor AI is likely to calm down at the end of fiscal year 2100
ズォ太郎 : Maybe now is your chance to buy in the spotlight?
glodenman : I look forward to it
R7038XX : If you look at it from a long-term perspective, I don't see any reason to lower it!
tret : Opportunity to buy more
pinkotu : Can we ignore that the external environment is getting worse? How far do you push the push line?