Web3 IoT IoV Qfs Training Xrpl Algo Hbar Business Consolidation Investors Guide - Decentralised Net
Web3 IoT IoV Qfs Training Xrpl Algo Hbar Business Consolidation Investors Guide - Decentralised Net
May 14, 2025 at 03:45 PM
If @PolyhedraZK is already leveraging @googlecloud Confidential Computing (GCC) for their TEE layers… and @FlareNetworks is already partnered with @googlecloud … then the smart move is to build directly into #flarenetwork native stack, not around it. 🔗 Why This Is a No-Brainer for Polyhedra ✅ 1. Flare + Google Cloud = Already Aligned Flare runs validator infrastructure on Google Cloud Verifiable Compute layer is being built to support TEE frameworks like GCC PMWs and compute nodes can be deployed directly inside Google Confidential Space 👉 Polyhedra doesn’t need to reinvent security integrations. They just need to plug their models, agents, and TEE proofs into Flare’s VC layer. ✅ 2. Shared Hardware Trust = Unified Security If both ecosystems are using: Intel SGX AMD SEV / TDX Google Confidential Space ...then there’s no need to build isolated enclaves per chain. Instead, #polyhedra could: Run a secure enclave once Submit TEE proofs through #flare Let Flare’s consensus and Verifiable Compute handle global trust and ordering ✅ 3. Polyhedra + Flare = AI + Asset Control With Polyhedra’s AI models + TEE + zkML: They can build trading bots, AI agents, real-world AI automation With Flare’s infrastructure: They can control $BTC, $XRP, $DOGE trustlessly Feed in price and Web2 data using FDC Set rules, execute actions, and verify logic on-chain It's one of the only places in crypto where AI, real-world data, and digital assets can interact trustlessly, with no bridges or middlemen. 🧠 Final Take: Polyhedra is doing brilliant work—but integrating with Flare turns it into a real-world, crypto-native superweapon. No friction. No double-work. Just straight pipeline from AI → TEE → Verifiable Compute → Action.

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