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.
Recently, I've been paying attention to an interesting project direction—directly converting GPU computing power into on-chain assets.
Simply put, it's NVIDIA Compute Network (NCN), with the corresponding token called $NVAI. This isn't your typical AI coin that tells stories; it's genuinely treating graphics card computing power as a trading asset.
The mechanism sounds straightforward: GPUs connect to the network → actual AI computing tasks are assigned → tokens are settled based on contribution once completed. They call this Proof of Compute, with the core logic that computing power is no longer a virtual concept but something that involves real work.
Why do I think this might be different? A few details come together: compatibility with CUDA, RTX, Jetson—NVIDIA's ecosystem; underlying real GPU nodes rather than virtualized compute; auditors like CertiK and OpenZeppelin; a clear roadmap from mainnet to node marketplace; a pre-sale period set very short—this actually says a lot.
These points combined don't seem like a haphazard patchwork.
Honestly, the only issue now is the limited time window. I'm not suggesting to go all-in, but for a project of this scale, missing the early stage means you’re probably just chasing highs or just watching the hype. I’ve participated with a small position mainly because I believe in a long-term direction—AI's underlying infrastructure will inevitably rely on compute power, and NVIDIA is at the core of that.
Regardless, this idea of putting physical resources on-chain is worth spending time to study.