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/…
Ravenverse: Scalable AI Compute, Redefined - Harness global compute power - Train large-scale AI models efficiently - Leverage idle resources from diverse devices Experience the future of decentralized AI compute with Raven Protocol. Learn more at ravenprotocol.com/ravenverse
Ravenverse: The Federated Analytics - Gain insights from private data securely - Perform analysis without compromising privacy - Access aggregated result, not individual data points Discover the power of secure, privacy-preserving data analysis with Raven's federated analytics.
Plot twist: inference now costs more than training. When your model runs billions of queries daily, centralized cloud bills compound faster than revenue scales. Distributed infrastructure isn't just cheaper, it's the only path to profitable scale at volume. $RAVEN
US datacenter power consumption projected to hit 7.5% of national electricity by 2030, triple current levels. AI racks draw megawatts. Grids weren't built for this density. Liquid cooling is becoming standard. Infrastructure is physics, not vaporware. techloy.com/how-ai-is-fuel…
Ravenverse: Distributed Computing Reimagined - Unite devices worldwide - Efficiently train large-scale AI - Tackle complex computational tasks - Empowering a global network of providers Experience the next generation of decentralized computing with us ℹ️ravenprotocol.com/ravenverse
gm to those who know idle compute shouldn't stay idle.
$758B AI infrastructure spend by 2029. Q2 2025 alone hit $82B—up 166% YoY. Hyperscalers control 86.7% of cloud AI spending. Everyone else competes for the remaining 13%. Centralization concentrates power. Distribution democratizes access. techloy.com/how-ai-is-fuel…
IDC revised AI infrastructure spending upward again. They predicted a slowdown in late 2025—it never came. GPU demand isn't slowing. It's accelerating into 2026. The bottleneck is capacity, not appetite. nextplatform.com/2025/11/03/mor…
Your GPU sits idle 60% of the time. Multiply that by billions of devices globally: desktops, servers, gaming rigs, workstations just waiting between tasks. That's not inefficiency, that's untapped infrastructure. Decentralized networks turn waste into accessible compute power.
700 watts per GPU. Thousands running simultaneously for months. That's megawatts of sustained power density in a single facility. The power density problem is real & centralized data centers are hitting physical limits. Distribution isn't optional anymore, it's physics. $RAVEN
$4 trillion infrastructure bill by 2030. 117GW of new datacenter capacity, enough power to run UK, Italy & Spain combined. Six companies control the cash flow to fund it. Everyone else fights for scraps. Centralization is the constraint, not solution. startuphub.ai/ai-news/market…
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