$Micron Technology (MU.US)$ In the future, the status of Al U is unknown. But high-speed memory will definitely not be absent. Sinking to the application end, high-capacity memory is also standard. In the long run, Micron is the preferred choice.![]()
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$Apple (AAPL.US)$ It's understandable to have fantasies about next year. But having fantasies about this season's financial report, that's a different story.![]()
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$Destiny Tech100 (DXYZ.US)$
Closed-end funds have a real capital of more than 50 million yuan with a 30% premium of 8 yuan. The ideal buying point is actually unlikely to be 10-15, but you can try it out a bit.
Closed-end funds have a real capital of more than 50 million yuan with a 30% premium of 8 yuan. The ideal buying point is actually unlikely to be 10-15, but you can try it out a bit.
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$Tesla (TSLA.US)$Where is the data?
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$QuantumScape (QS.US)$ The target customers of solid state batteries are not primarily EV. The main market is Al robots.![]()
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$Arm Holdings (ARM.US)$It will definitely be shipped before next quarter's earnings report. Al's battlefield arm fringe characters haven't been popular for long.![]()
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If all the benefits have not declined, the 30-35 forward price-earnings ratio will be consolidated until next quarter's earnings report.![]()
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$NVIDIA (NVDA.US)$ What is holding back the “Women's University” is its deceptive market capitalization. It's really cheap. If Al is real, 19,000 is just the bottom point value. 🤣
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$NVIDIA (NVDA.US)$ What do people think of this news.
Nvidia revealed that the new NVIDIA RTX 500 and 1000 Ada generation laptop GPUs will be used in mobile work devices such as Dell, HP, Lenovo, and MSI this spring.
Both the Nvidia RTX 500 and RTX 1000 use the same ADA Lovelace architecture as RTX 4090 and L40 server GPUs, or use TSMC's 4N (5nm) process. They have neural processing units (NPU), third-generation RT cores, fourth-generation Tensor Cores, Ada generation CUDA cores, dedicated GPU memory, DLSS 3 ray tracing technology, and eighth-generation NVIDIA AV1 (NVENC) encoders are important arrangement.
As AIGC and hybrid work environments become the new standard, almost every professional, whether content creators, researchers or engineers, needs a laptop with powerful AI acceleration capabilities to help users meet industry challenges, Nvidia said. The RTX 500 and 1000 GPUs use AI to enhance the workflow for compact laptop users everywhere.
Nvidia revealed that the new NVIDIA RTX 500 and 1000 Ada generation laptop GPUs will be used in mobile work devices such as Dell, HP, Lenovo, and MSI this spring.
Both the Nvidia RTX 500 and RTX 1000 use the same ADA Lovelace architecture as RTX 4090 and L40 server GPUs, or use TSMC's 4N (5nm) process. They have neural processing units (NPU), third-generation RT cores, fourth-generation Tensor Cores, Ada generation CUDA cores, dedicated GPU memory, DLSS 3 ray tracing technology, and eighth-generation NVIDIA AV1 (NVENC) encoders are important arrangement.
As AIGC and hybrid work environments become the new standard, almost every professional, whether content creators, researchers or engineers, needs a laptop with powerful AI acceleration capabilities to help users meet industry challenges, Nvidia said. The RTX 500 and 1000 GPUs use AI to enhance the workflow for compact laptop users everywhere.
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