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At QPin Labs, we’re building decentralized compute with a simple, plug-and-play API. Our focus today is building the network layer that enables anyone to connect GPU hardware nodes and offer compute to a global customer base. Node operators will be able to contribute capacity and monetize their hardware in an open, permissionless marketplace. Instead of relying on a single centralized provider, we’re designing an architecture closer to BitTorrent: many independent providers contributing to shared workloads, increasing resilience, availability, and access. We believe increasingly capable #AI will not remain confined to a handful of centralized labs forever. As autonomous systems evolve, they will require neutral, censorship-resistant infrastructure to operate and scale. QPin is building that foundation - reliable, decentralized compute: the substrate that enables large-scale training, inference, continuous learning, and autonomous coordination. If you know researchers, builders, node operators, or communities exploring decentralized AI and autonomy, share QPin with them. The more participants contributing and building, the stronger and more robust this future becomes. QPin Labs

CyreneAI Showcase: AIDP Real DePIN compute for AI is tough. Scaling globally is tougher. With @aidpstore, we delivered a structured launch, instant visibility, ecosystem trust, and 900%+ X growth (~100 → 1,000+ followers) in weeks. From compute provider → public launch → evolving into an AI DePIN incubator & launchpad. CyreneAI turns strong infrastructure into real momentum.

Introducing the $AIDP Trailer #AI is moving from experimentation to mass adoption. As demand scales, compute becomes the bottleneck - and control is concentrating in the hands of a few. #DePIN changes that. $AIDP is building a decentralized compute network that makes AI more affordable, accessible, and scalable. By bringing real-world hardware on-chain, we enable anyone to contribute compute and help AI startups scale without centralized constraints. This is how AI infrastructure evolves. This is $AIDP.

How $AIDP Is Structuring AI Compute One of the key topics from our recent X Space was how AI compute should be structured at scale - and this is central to what $AIDP is building. #AI workloads naturally fall into two core categories: 🟩 Model training - requires extremely high-performance, fast compute (e.g. H100-class GPUs) 🟩 Model usage / inference - can run efficiently on more cost-effective, widely available hardware AIDP’s global DePIN network is designed to support both. By connecting high-end GPUs alongside lower-cost compute (such as 30XX-series and similar), we can allocate workloads based on performance needs, availability, and cost efficiency - instead of forcing a one-size-fits-all solution. Beyond raw compute, we’re building toward hosting AI models and tooling directly within the AIDP network - supporting: ➡️ Training environments for builders ➡️ Model hosting for deployment ➡️ Inference execution across the network This allows AI companies to train, deploy, and scale models inside a single decentralized compute ecosystem. In short: AIDP isn’t just providing compute - we’re building the foundation for end-to-end AI infrastructure.

“White House imposes 25% tariff on advanced computing chips.” Staying out of politics, there’s an important infrastructure point to highlight. AI compute is becoming fragmented by geography, regulation, and supply chains. That’s exactly why we’re building a global #DePIN network - to democratize and globalize computation. With $AIDP, it doesn’t matter where hardware is located. If it’s connected, it can be utilized across the network - globally, efficiently, and on demand. The real question going forward isn’t who controls the chips. It’s who can connect the best hardware with the lowest operational costs. That’s the problem $AIDP is solving.

Partnership Announcement 🇺🇸 We’re excited to announce that QPin Labs Pte Ltd has signed a Memorandum of Understanding (MOU) with SDC Technologies LLC, marking our first computation partnership in the United States. SDC Technologies is an emerging U.S. compute provider focused on NVIDIA H100 infrastructure. Their first data center is operational, and we are currently connecting H100 compute to the QPin #DePIN network. Status: ✅ MOU signed 🔄 H100 test run in progress More insights and updates will be shared soon.