Futures
Access hundreds of perpetual contracts
CFD
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
CFD
Stock CFD Derivatives
US Stocks
Access real US stocks and ETFs
HK Stocks
Trade quality Hong Kong-listed stocks
Korean Stocks
SK Hynix
Real Korean stocks and top assets
Stock Futures
High leverage, 24/7 trading
Tokenized Stocks
Backed by real stock assets
IPO Access
Unlock full access to global stock IPOs
GUSD
3.8%
Mint GUSD for Treasury RWA yields
Stocks Activities
Trade Popular Stocks and Unlock Generous Airdrops
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Pre-IPOs
Unlock full access to global stock IPOs
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Promotions
AI
Gate AI
Your all-in-one conversational AI partner
Gate AI Bot
Use Gate AI directly in your social App
GateClaw
Gate Blue Lobster, ready to go
Gate for AI Agent
AI infrastructure, Gate MCP, Skills, and CLI
Gate Skills Hub
10K+ Skills
From office tasks to trading, the all-in-one skill hub makes AI even more useful.
Liang Wenfeng: China-made AI chips have a historic opportunity to replace incumbents; within the next year, the claim that the “ecosystem for domestically made chips has no issues” will be proven.
Our gap with the US may be 12 months behind; the US may be 12 to 18 months ahead, or 6 to 12 months ahead. Nvidia CUDA’s moat is being quickly dismantled. On the one hand, there is now AI—AI can write code, and I can use AI to build this ecosystem. On the other hand, there are some new technologies. For example, we developed a technology called TileLang (an open-source high-performance AI operator programming language developed by a team from Peking University’s School of Computer Science). With this higher-level language to write CUDA operators, we can quickly write out Nvidia’s entire ecosystem. Also, previously the market for computing cards was smaller than that for gaming cards; now the market for computing cards is larger than that for gaming cards, so there’s no reason for these two to still need to be coupled together.
The replacement of domestic AI chips now presents a historic opportunity. We believe that within the next year, we will be able to see something being validated: that the ecosystem for domestic chips has absolutely no issues. People previously thought there were issues—that the chips couldn’t be used or weren’t good to use—but I think within a year we can reverse that perception.
The purpose of buying Huawei 950 is still to help Huawei build a strong ecosystem. Huawei 950 supernode can completely match Nvidia’s GB200 and GB300 in performance and price. The price will definitely be higher, but the increase is limited. The only cost is that four Huawei cards can only top one Nvidia card, while still being two years behind. Being two years behind is a time gap: Huawei 950 supernode is shipping this year in Q3 or Q4, while Nvidia GB200 is from two years ago in Q3.
You can basically depreciate Nvidia’s cards over five years. Huawei’s cards are probably depreciated over at most three years. Huawei 950 can still be used this year—that’s quite good. Next year, I think it can still be used. After that, maybe it would really use too much power.”