#2024withBinance thanks Binance | Margot Gonzelez kqdE on Binance Square

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#2024withBinance thanks Binance 

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#TrumpTariffs Nvidia is reportedly planning to launch a cheaper Blackwell AI chip specifically made for China amid the US export restrictions, sources close to the developments have revealed. According to sources cited in a Reuters report, Nvidia is expected to start mass production of the new AI chip in June, which will be sold at a significantly lower price compared to the restricted H20 model. Nvidia’s price for the new chip reflects its weaker specs According to the two sources cited, the restricted H20 was priced at between $10,000 and $12,000. But Nvidia has set the price for the new Blackwell processor at between $6,500 and $8,000. The price is reportedly a reflection of the weaker specifications for the latest generation Blackwell, as well as the simpler production processes. The sources added that the new chip, tailored for the Chinese market, will be based on Nvidia’s RTX Pro 6000D, a server-class graphics processor. It will also use conventional GDR7 memory as opposed to the more advanced high bandwidth memory, according to the report. While the three sources that Reuters cited refused to be named as they were not authorized to comment on the matter, they revealed that the new chip will not use Taiwan Semiconductor Manufacturing Co’s (2330.TW) advanced Chip-on-Wafer-on-Substrate (CoWoS) packaging technology. Although TSMC refused to comment, a Nvidia spokesperson indicated that the company was still weighing its “limited” options. “Until we settle on a new product design and receive approval from the U.S. government, we are effectively foreclosed from China’s $50 billion data center market.” Nvidia Spokesperson. This comes as China has been a huge market for Nvidia, contributing 13% of the company’s total sales during the past financial year. The latest development marks the third time that the American chip-making firm has had to specially make a GPU for China following restrictions imposed by US authorities. The H20 restrictions forced Nivida

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Binance Square — our built-in social platform for crypto insights — now lets you share real, verified trading data to build trust and credibility. New ‘Trade Sharing’ tools let you post Spot and Futures trades, PNL snapshots, and full trade histories directly to your Square posts. Stand out as a credible voice, grow your following, and potentially earn up to 30% in trading commissions through the Write to Earn program. This is a general announcement. Products and services referred to here may not be available in your region. In crypto, every trade can tell a story — but not all stories are created equal. Screenshots can be misleading, and vague market takes often lack substance. That’s why Binance Square — our built-in social platform — now offers new Trade Sharing features that let you connect verified data from your account directly to your posts. Binance Square is where traders, creators, and the wider crypto community come together to share insights, ideas, and experiences. And with Trade Sharing, your content can now be backed by real performance — not just opinions. In this blog, we’ll explore how these tools help you share with transparency, build credibility, and connect more meaningfully with your audience. Read on to discover how you can turn your trading into trusted content — and even start earning from it. Why Trade Sharing? In a space crowded with bold claims, cropped screenshots, and hard-to-verify PNLs, it’s getting harder to know who to trust, and for users to tell what’s legit. That’s why we’ve built Trade Sharing on Square: to give users the tools they need to share verified trades and cut through the noise. By connecting real data to your posts, you’re not just adding credibility, you’re helping raise the bar for the entire community. Let’s take a closer look at the three new ways you can share your trades and performance more effectively on Binance Square: Trade Sharing Cards for linking real Spot and Futures trades Snapshot Cards for showcasing portfolio performance Trade Markings for visualizing your ful

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