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$NVIDIA (NVDA.US)$Large investors are closing their positions until the heat of Trump's policies cools off. Holding gold is safer.
Buying in all at once when the outlook appears clearer.
Maybe around when the exchange rate exceeds 155 yen?
Buying in all at once when the outlook appears clearer.
Maybe around when the exchange rate exceeds 155 yen?
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Introducing NVIDIA's AI technology to Datacenters in Africa.March 25, 2025, 16:56 JST.
Cassava Technologies, founded by Zimbabwe's communications industry heavyweight Strive Masiyiwa, will utilize NVIDIA's Artificial Intelligence (AI) computing technology to upgrade its Datacenter.
According to a press release published on Cassava's website, the company plans to implement NVIDIA's cutting-edge computing technology and AI software in its Datacenter located in the Republic of South Africa by June. Subsequently, they intend to adopt it in other facilities in Egypt, Kenya, Morocco, and Nigeria.
Mr. Masiwa explained that this will allow African businesses, startups, and researchers to access cutting-edge AI infrastructure.
Cassava aims to introduce NVIDIA's accelerated computing to Africa for the first time as the company's cloud partner.
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Cassava Technologies, founded by Zimbabwe's communications industry heavyweight Strive Masiyiwa, will utilize NVIDIA's Artificial Intelligence (AI) computing technology to upgrade its Datacenter.
According to a press release published on Cassava's website, the company plans to implement NVIDIA's cutting-edge computing technology and AI software in its Datacenter located in the Republic of South Africa by June. Subsequently, they intend to adopt it in other facilities in Egypt, Kenya, Morocco, and Nigeria.
Mr. Masiwa explained that this will allow African businesses, startups, and researchers to access cutting-edge AI infrastructure.
Cassava aims to introduce NVIDIA's accelerated computing to Africa for the first time as the company's cloud partner.
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$NVIDIA (NVDA.US)$
Good morning☀️ It's a nice morning to wake up.
High-quality stocks like NVIDIA should be held long-term without trying to counter-trade ☝️. Looking at the Candlestick📈, detailed trades will lose you Gold💸.
Good morning☀️ It's a nice morning to wake up.
High-quality stocks like NVIDIA should be held long-term without trying to counter-trade ☝️. Looking at the Candlestick📈, detailed trades will lose you Gold💸.
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$NVIDIA (NVDA.US)$
A reversal of the trend of divesting from US stocks is anticipated, aided by the decline of the dollar - according to Wilson of Morgan Stanley.
Did Mr. Trump come four months ago and start paying attention to the stock prices? It seems that there is a slight loosening of the reins on mutual tariffs. Perhaps because of that background, tonight's NY feels different. The Bullish USA may have returned. If M7 makes a comeback, the money that had flowed out to other countries may flow back in again! One cannot help but hope that today will be that turning point.
"One reason funds have been redirected to global stocks is that the performance of the leading group in the US stock market has started to decline," it was pointed out. "Therefore, if this group recovers its relative strength, it is possible that the focus of investment could return to the USA."
A reversal of the trend of divesting from US stocks is anticipated, aided by the decline of the dollar - according to Wilson of Morgan Stanley.
Did Mr. Trump come four months ago and start paying attention to the stock prices? It seems that there is a slight loosening of the reins on mutual tariffs. Perhaps because of that background, tonight's NY feels different. The Bullish USA may have returned. If M7 makes a comeback, the money that had flowed out to other countries may flow back in again! One cannot help but hope that today will be that turning point.
"One reason funds have been redirected to global stocks is that the performance of the leading group in the US stock market has started to decline," it was pointed out. "Therefore, if this group recovers its relative strength, it is possible that the focus of investment could return to the USA."
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$NVIDIA (NVDA.US)$
It is said that this can significantly reduce development costs and time, contributing to solving the estimated global labor shortage of over 50 million people.
The company's CEO stated, "An era where humanoid robots are walking around everywhere is not five years away, but will come within a few years."
It is said that this can significantly reduce development costs and time, contributing to solving the estimated global labor shortage of over 50 million people.
The company's CEO stated, "An era where humanoid robots are walking around everywhere is not five years away, but will come within a few years."
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$NVIDIA (NVDA.US)$
It's a long-term Shareholding, isn't it? Let's stay excited without getting too emotional about it, haha.
It's a long-term Shareholding, isn't it? Let's stay excited without getting too emotional about it, haha.
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$NVIDIA (NVDA.US)$
Oh, you've risen to second place.
Oh, you've risen to second place.
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$NVIDIA (NVDA.US)$ Towards Quantum Day at GTC, the transition from GPU to quantum is being explored.
The transition from GPU to Computer in AI development holds great potential, but there are several important challenges.
Main challenges:
* Adaptation of algorithms:
* Quantum Computers cannot directly use GPU-based AI Algorithms due to their different computational principles.
* Specifically, the redesign of gradient descent, which is the basis of deep learning, is required.
* Hardware constraints:
* Current Quantum Computers are noisy, and large-scale calculations are unstable.
The number of qubits is limited and is insufficient for training large-scale neural networks.
The development of error correction technology is essential.
* Software and development environment:
Compared to the development environment for GPUs (such as CUDA), the environment for quantum computers is still developing.
Integration with existing AI frameworks has not progressed.
* Cost and Accessibility:
* Quantum Computers are very expensive, and the available environments are limited.
* Cloud services also have costs and limitations, ...
The transition from GPU to Computer in AI development holds great potential, but there are several important challenges.
Main challenges:
* Adaptation of algorithms:
* Quantum Computers cannot directly use GPU-based AI Algorithms due to their different computational principles.
* Specifically, the redesign of gradient descent, which is the basis of deep learning, is required.
* Hardware constraints:
* Current Quantum Computers are noisy, and large-scale calculations are unstable.
The number of qubits is limited and is insufficient for training large-scale neural networks.
The development of error correction technology is essential.
* Software and development environment:
Compared to the development environment for GPUs (such as CUDA), the environment for quantum computers is still developing.
Integration with existing AI frameworks has not progressed.
* Cost and Accessibility:
* Quantum Computers are very expensive, and the available environments are limited.
* Cloud services also have costs and limitations, ...
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