Raven Protocol 🐦⬛
@raven_protocol
Raven is developing a distributed network of compute nodes for Artificial Intelligence and Machine Learning. A decentralized computing protocol built on #BNB
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🏆Raven wins the @mozillabuilders Award at the Fix-the-Internet showcase. Recognition by the top open source organization in the world that Raven Protocol is a core infrastructure project. We demonstrated best traction and commitment to fix the internet! medium.com/ravenprotocol/…
Serving frontier models isn't a single-GPU problem anymore. Its distributed orchestration, splitting prefill and decode, routing between expert models, managing KV caches across nodes. Single-system serving is obsolete. Distributed inference is baseline. gradientflow.substack.com/p/trends-shapi…
AI workloads need massive compute. Centralized data centers can't keep up. Raven Protocol connects billions of idle devices into decentralized infrastructure. Contributors earn tokens. Developers access affordable compute. Distributed by design. Scalable by nature. $RAVEN
$10B into a single European AI hub. Portugal isn't diversifying compute, Microsoft is consolidating infrastructure where regulations permit scale. Geopolitical arbitrage meets data center economics. Capacity follows policy. techstartups.com/2025/11/11/top…
"Real-time AI can't wait for round trips to centralized clouds. Agentic workloads demand compute where data lives: retail floors, factory lines, branch offices. Distributed by design. Inference at the edge. newsroom.cisco.com/c/r/newsroom/e…
Did you know? Billions of devices have unused compute cycles. AI researchers queue for months. Same planet, different realities. Ravenverse bridges the gap: distributed training protocol connecting idle GPUs, edge servers & heterogeneous nodes into accessible AI infra. $RAVEN
Traditional AI infrastructure assumes uniform hardware in one location. Reality is messier. Ravenverse: distributed computing framework built for the real world, heterogeneous devices, variable bandwidth, geographic distribution. Train on what exists, not what's ideal. $RAVEN
Harnessing the power of billions of devices, distributed computing: - Scalable compute for AI, Web3 & beyond - Accelerated breakthroughs with sustainability - Reliable solutions to complex problems Ditch centralized bottlenecks for the efficiency of decentralized infra. $RAVEN
gm to idle GPUs, underutilized servers, and every device that could be training models right now.
"Infrastructure needs to be portable and unified across every AI layer—hyperscaler to handset. Consistent compute foundation speeds time to market." Edge to cloud continuity. One framework, every scale. hbr.org/sponsored/2025…
"Decentralized infrastructure cuts AI inference costs 50% and mitigates single-point failures. October 2025: 40% surge in adoption." From trend to standard. Distribution wins. etcjournal.com/2025/10/25/fiv…
![raven_protocol's tweet card. By Jim Shimabukuro (assisted by Grok)Editor [Also see Five Emerging AI Trends in Late-September 2025 and Five Emerging AI Trends in Late-August 2025] The following are five…](https://pbs.twimg.com/card_img/1986209454854184963/Yuk-YSBY?format=png&name=orig)
This is why centralized infrastructure can't scale fast enough. Distributed training across heterogeneous nodes = accessing compute that already exists instead of building new. Network beats nodes.
AI is the defining opportunity of this decade. The need for compute keeps accelerating because smarter models require more power. The better these models get, the more compute they need. And there’s basically no limit to how much intelligence we can put to work.
AI training demands massive compute, but most GPU power sits idle while researchers wait months for access. Ravenverse: distributed computing protocol that coordinates heterogeneous nodes globally, turning scattered resources into training infrastructure. $RAVEN
"AI opportunities are proliferating while becoming more distributed. Businesses need distributed AI infrastructure everywhere their data lives: securely, with speed and flexibility." Infrastructure follows data. Deploy where decisions happen. blog.equinix.com/blog/2025/09/2…
gm to infrastructure builders who saw the distributed future before it was a trend.
Somewhere right now: → A researcher waits 3 weeks for GPU access → A gaming rig sits idle overnight → An edge server runs at 20% capacity Three separate worlds. One obvious solution. The infrastructure revolution isnt about building more. Its about connecting better. $RAVEN
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