0G Labs
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Blockchain for AI Agents, powered by 0G Foundation 👉 0g.ai/
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50,000x Faster Data Availability For AI Agents ⚡
$TIA turned data availability into one of the most important infrastructure narratives of the cycle. $0G is where that same DA conversation expands into AI-native memory, inference flow, and agent workloads.
Ethereum DA was never designed for real-time agent memory and inference retrieval.
AI agents generate and consume data at a completely different order of magnitude.
0G’s DA + storage receipts make that visible:
→ 50,000x Ethereum throughput
→ 100x lower cost per byte
→ 2 GB/s storage throughput
→ built for AI memory retrieval
This is already being tested against real product demand.
Ghast AI has already processed 30M+ inference tokens, while Aristotle Mainnet now supports 300+ ecosystem partners across the broader stack.
That’s what makes the performance layer credible.
The throughput rails are already supporting live agent workloads at scale.
#0G #AI
$TIA turned data availability into one of the most important infrastructure narratives of the cycle. $0G is where that same DA conversation expands into AI-native memory, inference flow, and agent workloads.
Ethereum DA was never designed for real-time agent memory and inference retrieval.
AI agents generate and consume data at a completely different order of magnitude.
0G’s DA + storage receipts make that visible:
→ 50,000x Ethereum throughput
→ 100x lower cost per byte
→ 2 GB/s storage throughput
→ built for AI memory retrieval
This is already being tested against real product demand.
Ghast AI has already processed 30M+ inference tokens, while Aristotle Mainnet now supports 300+ ecosystem partners across the broader stack.
That’s what makes the performance layer credible.
The throughput rails are already supporting live agent workloads at scale.
#0G #AI
744B Parameters Already Running On 0G 🛠
$FET accelerated the market’s understanding of autonomous agent frameworks. $SUI proved how fast builder-friendly ecosystems compound once product surfaces become accessible. 0G now brings heavyweight frontier-model inference directly into that same flow.
0G App launched with GLM-5 running at 744B parameters inside a Trusted Execution Environment, bringing frontier-scale model power into a live builder surface from day one.
The launch stack is already visible:
→ 744B parameter GLM-5
→ App Launcher live
→ Claw Launcher live
→ Token Launcher coming soon
This is where the builder conversation changes.
The unlock is no longer just accessibility.
It’s heavyweight model capability, verifiable execution, and agent deployment inside one product surface.
That’s what makes 0G App feel less like a launch and more like the premium builder layer for autonomous AI.
#0G #AI
$FET accelerated the market’s understanding of autonomous agent frameworks. $SUI proved how fast builder-friendly ecosystems compound once product surfaces become accessible. 0G now brings heavyweight frontier-model inference directly into that same flow.
0G App launched with GLM-5 running at 744B parameters inside a Trusted Execution Environment, bringing frontier-scale model power into a live builder surface from day one.
The launch stack is already visible:
→ 744B parameter GLM-5
→ App Launcher live
→ Claw Launcher live
→ Token Launcher coming soon
This is where the builder conversation changes.
The unlock is no longer just accessibility.
It’s heavyweight model capability, verifiable execution, and agent deployment inside one product surface.
That’s what makes 0G App feel less like a launch and more like the premium builder layer for autonomous AI.
#0G #AI
300+ Partners Already Live On 0G Aristotle Mainnet 🌐
$SUI is showing how fast ecosystem gravity compounds around builder-friendly infrastructure. $FIL proved that decentralized infrastructure becomes stronger as composability scales. 0G is now building that same network effect for AI-native rails.
Aristotle Mainnet has already been live since September 2025, with 300+ ecosystem partners integrated across enterprise cloud, interoperability, institutional custody, AI compute, and developer tooling.
The ecosystem receipts are already strong:
→ Google Cloud
→ Alibaba Cloud
→ Chainlink
→ LayerZero
→ Fireblocks
→ Aethir
→ Alchemy
→ And many more
This is where infrastructure durability starts becoming visible.
The breadth itself becomes the moat.
When enterprise cloud, cross-chain rails, custody, GPU networks, and developer tooling all converge on the same stack, the network effect compounds far beyond crypto-native demand.
That’s what makes 0G’s ecosystem gravity one of the strongest live signals in the agent infrastructure category.
#0G #AI
$SUI is showing how fast ecosystem gravity compounds around builder-friendly infrastructure. $FIL proved that decentralized infrastructure becomes stronger as composability scales. 0G is now building that same network effect for AI-native rails.
Aristotle Mainnet has already been live since September 2025, with 300+ ecosystem partners integrated across enterprise cloud, interoperability, institutional custody, AI compute, and developer tooling.
The ecosystem receipts are already strong:
→ Google Cloud
→ Alibaba Cloud
→ Chainlink
→ LayerZero
→ Fireblocks
→ Aethir
→ Alchemy
→ And many more
This is where infrastructure durability starts becoming visible.
The breadth itself becomes the moat.
When enterprise cloud, cross-chain rails, custody, GPU networks, and developer tooling all converge on the same stack, the network effect compounds far beyond crypto-native demand.
That’s what makes 0G’s ecosystem gravity one of the strongest live signals in the agent infrastructure category.
#0G #AI
Alibaba just plugged its AI into crypto rails.
$0G just unlocked direct access to one of the world’s most widely used AI model families.
Through its collaboration with Alibaba Cloud, 0G is bringing Qwen models onchain, making them directly accessible to AI agents for the first time.
$TAO proved decentralized intelligence has demand. 0G is now solving how agents actually access and use that intelligence at scale.
The problem was always access.
Today’s AI models are still locked behind:
→ API keys
→ Account setup
→ Fiat billing
→ Manual configuration
That setup breaks down for autonomous agents.
0G removes that layer entirely.
AI agents on 0G can now:
→ Query Qwen models directly
→ Run multi-step workflows
→ Execute decisions programmatically
No API friction. No manual loops.
At the stack level:
→ Qwen handles reasoning
→ 0G verifies execution
This is the shift.
From API-based access to programmable AI infrastructure
As access becomes native to the stack, developers can focus on building real agent workflows instead of managing integrations.
That’s where the unlock is.
0G is turning top-tier AI models into something agents can actually use.
#0G #AI
$0G just unlocked direct access to one of the world’s most widely used AI model families.
Through its collaboration with Alibaba Cloud, 0G is bringing Qwen models onchain, making them directly accessible to AI agents for the first time.
$TAO proved decentralized intelligence has demand. 0G is now solving how agents actually access and use that intelligence at scale.
The problem was always access.
Today’s AI models are still locked behind:
→ API keys
→ Account setup
→ Fiat billing
→ Manual configuration
That setup breaks down for autonomous agents.
0G removes that layer entirely.
AI agents on 0G can now:
→ Query Qwen models directly
→ Run multi-step workflows
→ Execute decisions programmatically
No API friction. No manual loops.
At the stack level:
→ Qwen handles reasoning
→ 0G verifies execution
This is the shift.
From API-based access to programmable AI infrastructure
As access becomes native to the stack, developers can focus on building real agent workflows instead of managing integrations.
That’s where the unlock is.
0G is turning top-tier AI models into something agents can actually use.
#0G #AI
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
$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
$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
$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
$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
Building apps used to require code, cloud accounts, and centralized providers watching your every prompt.
That era just ended. Meet $0G App, the hub for decentralized AI.
Prompt to app. Verified inference.
🐼 Try the Desktop App now → app(dot)0g(dot)ai
Every inference runs inside Intel TDX + NVIDIA H100/H200 enclaves, so prompts stay cryptographically verified. Lovable and Bolt can’t say that.
App Launcher → prompt to app
Claw Launcher → 12 AI agents
Token Launcher → coming soon
Idea to revenue. One platform. No middlemen.
$0G at the center of every transaction.
#Aİ #AIAgents
That era just ended. Meet $0G App, the hub for decentralized AI.
Prompt to app. Verified inference.
🐼 Try the Desktop App now → app(dot)0g(dot)ai
Every inference runs inside Intel TDX + NVIDIA H100/H200 enclaves, so prompts stay cryptographically verified. Lovable and Bolt can’t say that.
App Launcher → prompt to app
Claw Launcher → 12 AI agents
Token Launcher → coming soon
Idea to revenue. One platform. No middlemen.
$0G at the center of every transaction.
#Aİ #AIAgents
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