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.
谷歌推出Gemini Enterprise Agent Platform,Vertex AI全线并入
ME News message: On April 22 (UTC+8), according to Beating Monitoring, Google launched the Gemini Enterprise Agent Platform at Cloud Next 2026. It integrates the previous Vertex AI as a whole, and all subsequent Vertex AI services and roadmaps will be delivered through this platform. The platform covers the entire end-to-end process of agent building, scaling, governance, and optimization, positioning itself as the control center for enterprise agent clusters. The platform includes several new components.
The Agent Development Kit (ADK) adds a graph framework that can orchestrate multiple agents into a sub-agent network. The Agent Runtime has been rebuilt for production environments, supporting long-running agents to maintain state for days, and introduces a Memory Bank to provide persistent long-term context. The governance layer adds three modules—Agent Identity, Agent Registry, and Agent Gateway—which manage agent permissions, registration and tracking, and security guardrails, respectively. The Agent Sandbox provides an isolated environment for securely executing code generated by models and browser automation tasks.
At the model level, the platform supports Google’s own models (Gemini 3.1 Pro, Gemini 3.1 Flash Image, Lyria 3), the open-source model Gemma 4, and third-party models such as Anthropic Claude. Pichai also announced a set of business metrics. In the first quarter, Gemini Enterprise’s paid monthly active users increased by 40% quarter-over-quarter. Customer direct API calls to Google’s own models reached 16 billion tokens per minute, compared with 10 billion in the previous quarter. In 2026, more than half of the company’s investment in machine learning compute power will be directed toward cloud business.
On the security front, Google released a set of agent-driven threat detection solutions, integrating its own Threat Intelligence and Security Operations with Wiz’s cloud security platform. Wiz also simultaneously launched the AI Application Protection Platform (AI-APP), covering autonomous protection from code to cloud to runtime, supporting multi-cloud, hybrid, and AI environments.
(Source: BlockBeats)