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
U.S. 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
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
IPO Access
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.
Market Analysis: Meta's renting of computing power is akin to using old resources to support new ones, rather than stopping the pursuit of high-end computing power.
6月中下旬，Meta被报道已与Crusoe签约，拟从Texas和Missouri州的两个数据中心获取合计约1.6GW的AI计算容量。同时，Meta 26Q1仍把全年资本开支指引上调到1250-145B美元。两件事放在一起看，更像是不同代际、不同用途的资源再配置：继续买新卡训练前沿模型，但旧卡(如H系列)用于推理大流量产品、托管外部模型等应用场景的，可以接受出租一部分，但这并不代表会放缓购买最紧缺的高端卡。金色财经报道, July 2, market analysis suggests that Meta is planning to launch a cloud computing business for renting out computing power: one category involves opening up the model capabilities deployed on its own AI infrastructure to external customers, and the other involves renting out more underlying "bare-metal computing power". However, for now, the real situation seems to be that Meta is recovering cash flow from its existing old computing power, rather than stopping the pursuit of high-end computing power.
In mid-to-late June, Meta was reported to have signed a contract with Crusoe, planning to obtain a total of approximately 1.6GW of AI computing capacity from two data centers in Texas and Missouri. At the same time, Meta still raised its full-year capital expenditure guidance to $125-145 billion in 26Q1. Looking at these two events together, it appears more like resource reallocation across different generations and use cases: continuing to purchase new cards to train cutting-edge models, but for older cards (such as the H series) used in scenarios like inference for high-traffic products and hosting external models, it is acceptable to rent out a portion, but this does not mean slowing down the purchase of the most scarce high-end cards.