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- 🎉 Hey Gate Square friends! Non-stop perks and endless excitement—our hottest posting reward events are ongoing now! The more you post, the more you win. Don’t miss your exclusive goodies! 🚀
🆘 #Gate 2025 Semi-Year Community Gala# | Square Content Creator TOP 10
Only 1 day left! Your favorite creator is one vote away from TOP 10. Interact on Square to earn Votes—boost them and enter the prize draw. Prizes: iPhone 16 Pro Max, Golden Bull sculpture, Futures Vouchers!
Details 👉 https://www.gate.com/activities/community-vote
1️⃣ #Show My Alpha Points# | Share your Alpha points & gains
Post your - 🚀 ETH jumped to $4,600 this morning, up 8.69% in 24h!
Just shy of the $4,891 ATH—think it breaks through?
📍 Follow Gate_Square, vote and drop your reason.
🎁 4 winners split $100 Futures Voucher! - 💙 Gate Square #Gate Blue Challenge# 💙
Show your limitless creativity with Gate Blue!
📅 Event Period
August 11 – 20, 2025
🎯 How to Participate
1. Post your original creation (image / video / hand-drawn art / digital work, etc.) on Gate Square, incorporating Gate’s brand blue or the Gate logo.
2. Include the hashtag #Gate Blue Challenge# in your post title or content.
3. Add a short blessing or message for Gate in your content (e.g., “Wishing Gate Exchange continued success — may the blue shine forever!”).
4. Submissions must be original and comply with community guidelines. Plagiarism or re
The Fourth Paradigm launches the large-scale model reasoning integrated solution SageOne IA
Jinshi data news on February 26th, Fourth Paradigm (06682.HK) launched the large model inference integrated machine solution SageOneIA today, further reducing the cost of large model inference. For example, the full version of DeepSeekV3/R1 only requires two integrated machines to use. In addition, the integrated machine solution also integrates intelligent Computing Power pooling technology. On the basis of supporting mainstream large models such as DeepSeekV3/R1, QWen2.5, LLama3.3, enterprises can flexibly switch between the full version and multiple distillation models, with GPU utilization rate increased by more than 30% and inference performance increased on average by 5-10 times.