0G Labs

AI Agents Already Need An Economy 🔑

$RENDER made the market price AI compute demand. $0G is building the economic rails that autonomous agents need once they start creating apps, services, and onchain value.

The shift is already visible.

The moment agents can build, deploy, and coordinate from a single prompt, infrastructure stops being about throughput alone. It becomes about ownership, monetization, and native settlement.

That’s exactly what 0G App introduced.

App Launcher turns prompts into products.
Claw Launcher deploys 12 specialized AI agents.
Token Launcher will extend that flow into onchain monetization.

This is where the category moves beyond compute and into real economic activity.
The next layer of the AI economy is not just intelligence.

It is the rails where agents can create, earn, and transact with $0G at the center of every flow.

#render #0G

30M Inference Tokens Already Flow Through 0G 🔐

$ICP made verifiable compute a serious market conversation. $FET pushed autonomous agents into real execution loops. 0G is where both now converge into sealed inference already operating at scale for live users.

Ghast AI, built on 0G infrastructure, is already showing what real usage on trusted AI rails looks like.

Early beta numbers:

→ 830+ users
→ 547 active users completing full conversations
→ 30M+ inference tokens consumed

Each inference runs sealed inside Intel TDX + NVIDIA H100/H200 enclaves, attaching hardware-level cryptographic proof to execution without exposing the computation itself.

This matters because the conversation around AI safety and agent infrastructure changes once the usage layer is no longer theoretical.

The stack is already handling real users, persistent memory, and meaningful inference demand.

That’s the clearest proof that trusted AI infrastructure is moving from design to product reality.

#0G #Aİ

Not Your Server. Not Your AI 🔑

$NEAR has been one of the clearest market signals for AI-native infrastructure. $0G takes that one layer deeper, with sealed inference AI agents can actually own.

Every AI agent running on someone else’s infrastructure is still a tenant.

The moment inference depends on centralized servers, autonomy becomes conditional. Prompts can be watched, outputs can be changed, and execution stays dependent on systems the agent does not control.

That era just ended.

0G seals every inference inside Intel TDX + NVIDIA H100/H200 enclaves, generating cryptographic proof per execution so even the infrastructure layer cannot alter what an agent computes.

The April 14 launch of 0G App turned this into a live builder surface. Anyone can now deploy a verifiable AI agent inside a Trusted Execution Environment without writing a line of code, bringing the same prompt-to-app flow directly onchain.

The conviction behind this stack is already visible in capital formation: 0G secured $290M in ecosystem financing, while Nasdaq-listed ZeroStack Corp. committed another $107M to build a strategic ~21% supply-level position in the network.

Autonomous AI infrastructure is no longer theoretical.

It is already in production.

#0G #AI

AI Agents Are Running on Borrowed Infrastructure 🔑

$TAO proved decentralized intelligence has real demand. $0G is building the rails for what happens when intelligence stops assisting and starts acting.

The old internet stack was built for apps and human clicks.

Autonomous agents change the requirement set completely. Verifiable compute, sealed inference, decentralized storage, persistent memory, and native settlement become foundational once agents need to execute, coordinate, and transact at scale.

That’s where the current AI infrastructure conversation starts to split.

The market is still heavily focused on models and compute, while the real shift is happening in the rails that let agents operate as first-class economic actors.

0G brings these primitives together into a single AI-native modular stack purpose-built for agents that need to scale.

This is where the category becomes unavoidable: Blockchain for AI Agents.

That’s the lane $0G is here to define.

#0G #AI