Cluster Protocol

Cluster Protocol has raised $ 5M bringing total capital raised to $ 7.75M Led by @daofive , joined by @Papervc, @jpegtrading , @Maple_block , and a growing roster of strategic investors. Every dollar accelerates @CodeXero_xyz, the browser-native vibe coding IDE for EVM.

GLM 5.1 is now live on Cluster Protocol's Private AI inference infrastructure, powered by Phala TEE. ZhipuAI's most advanced model, running inside a hardware-level Trusted Execution Environment. Enterprise-grade reasoning with hardware-level privacy guarantees. Your inputs never leave the secure enclave.

Try it at hub.clusterprotocol.ai/models

MiniMax M2.5 is now live on Cluster Protocol's Private AI inference infrastructure, powered by Phala TEE. Built for long context. MiniMax M2.5 handles extended inputs inside the TEE without compromising privacy at any point in the process. Long documents, complex workflows, confidential data, all processed privately from start to finish.

the best ideas don’t wait for morning

@WalrusProtocol ai needs verificable private inference we cooked that for the world hub.clusterprotocol.ai

AI is still early. Trillions of agents coming, and memory only grows, it never gets smaller. All of it needs somewhere durable and verifiable to live. 🦭👀

the gates are always open.

Set your reminders here! twitter.com/i/spaces/1nKOL…

Your AI agent just paid for something. you did not approve it. Cluster roundtable #6: what happens when AI agents start spending money on their own? Agents with wallets are buying compute, data, and settling transactions with no human in the loop. we put the people building those rails in one room to argue about what breaks and who gets automated. 🎙️ hosted by @depindaddy, chief @ClusterProtocol ft. ~ @phongnguyendang, head of BD @inflowpayai ~ @vargs_g, strategic partnerships @0G_labs ~ @0xFF__, CSO @vs1_finance ~ @whoisparul, founder @snowball_money ~ @humman30, cofounder @inflectivAI ~ @ShivangKamboj12, head of growth @LighthouseWeb3 ~ @MukundRawat6, sr. backend and smart contracts dev @NodeOpsHQ ~ @ArjunKalsy, chief of growth @Covalent_HQ ~ @Michael_Steph1, community lead @PulsarMoneyApp ~ @myo_visions, CMO @GamePad_co ~ Eniitan, community manager @paywithmana 🗓 Fri, June 19 | 2:30 PM UTC 🔗 Space link ⬇️

@Web3GameMaster @PhalaNetwork one vision, one goal to make sure that your data belongs to you while you prompt.

@ClusterProtocol integration with @PhalaNetwork solves a problem most people don’t think about until it’s too late. Which is where does your data actually go once it hits an AI model. Running DeepSeek, Qwen, GLM, and MiniMax inside TEE hardware means the prompt is sealed off from everyone in the pipeline, including Cluster and Phala themselves. Every call comes back with a signed attestation, which is hardware level proof that the data never left the enclave, not just a policy promising it didn’t. For developers and institutions handling anything sensitive, that’s a real shift from trusting a privacy claim to actually verifying it. Worth digging into if your stack touches data you can’t afford to expose, full breakdown is in the article below 👇🏻 .

@VestateFund @PhalaNetwork thanks guys for the support.

@ClusterProtocol @PhalaNetwork Congratulations on this great partnership!

There's a reason you don't paste your bank statements into a chatbot. Now you don't have to think twice. Cluster x @PhalaNetwork: private inference on the models you already use, DeepSeek, Qwen, GLM, MiniMax, running sealed inside TEE hardware. Your prompt is invisible to everyone in the path. Including us. Every call returns a signed attestation, proof your data never left the enclave. You don't have to take our word for it. The hardware proves it. Full breakdown below.

@rosa_onchain @PhalaNetwork

@ClusterProtocol @PhalaNetwork Cool idea, moving privacy in the right direction.

@SkylineETH @PhalaNetwork

@ClusterProtocol @PhalaNetwork this is really huge

@Uptopia_xyz @PhalaNetwork lets get based together

@ClusterProtocol @PhalaNetwork based

Try it at hub.clusterprotocol.ai/models