📢 Gate Square #Creator Campaign Phase 1# is now live – support the launch of the PUMP token sale!
The viral Solana-based project Pump.Fun ($PUMP) is now live on Gate for public sale!
Join the Gate Square Creator Campaign, unleash your content power, and earn rewards!
📅 Campaign Period: July 11, 18:00 – July 15, 22:00 (UTC+8)
🎁 Total Prize Pool: $500 token rewards
✅ Event 1: Create & Post – Win Content Rewards
📅 Timeframe: July 12, 22:00 – July 15, 22:00 (UTC+8)
📌 How to Join:
Post original content about the PUMP project on Gate Square:
Minimum 100 words
Include hashtags: #Creator Campaign
MiniMax Open Source's first inference model: Competing with DeepSeek, the Computing Power cost is only about $530,000.
Gate News bot message, MiniMax announced on June 17 that it will release important updates for five consecutive days. Today's first release is the Open Source first inference model MiniMax-M1.
According to the official report, the MiniMax-M1 has benchmarked alongside open source models such as DeepSeek-R1 and Qwen3, approaching the most advanced models overseas.
The official blog also mentioned that based on two major technological innovations, the MiniMax-M1 training process was efficient "beyond expectations," completing the reinforcement learning training phase in just 3 weeks using 512 H800 GPUs, with a computing power rental cost of only $534,700. This is an order of magnitude less than the initial expectations.
Source: Jinshi