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
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.
GateRouter
Smartly choose from 40+ AI models, with 0% extra fees
NVIDIA’s recent stock movement has been quite interesting. In late April, NVIDIA’s stock surged more than 4% in a single day, and its market capitalization reportedly surpassed $5 trillion for the first time in about six months.
Thinking about it, this doesn’t seem like a coincidence. AI demand is exploding worldwide, but the supply of high-performance AI chips is critically short. While the semiconductor market itself is approaching a $1 trillion scale, what’s truly needed are high-performance GPUs made by companies like NVIDIA.
The interesting part is that the rise in NVIDIA’s stock isn’t just due to a simple supply shortage. As generative AI rapidly spreads, application development has surged, driving a sharp increase in computing power consumption. As a result, rental prices for high-performance GPUs rose rapidly, and cloud service and hardware costs climbed as well. This created a vicious cycle that further deepened the shortage of computing power.
That said, there are also some intriguing recent changes. In Korea, high-performance large-scale models such as DeepSeek-V4, which are compatible with Huawei’s Ascend computing power, have been officially released. As the domestic computing power ecosystem matures quickly, the competitive landscape in a market that NVIDIA has effectively dominated may become more contested.
Ultimately, NVIDIA’s stock breaking past $5 trillion seems to reflect the current imbalance between AI chip supply and demand. However, in the long term, it’s likely that we’ll need to watch how competitors’ technological advancements and market entry will affect the landscape. I believe NVIDIA’s stock movements will continue to be an important indicator of changes in the competitive dynamics of the AI industry.