"CoreWeave: building distributed, low-latency infrastructure responsive to client demands—managing data sovereignty risks and providing responsive compute for AI inference." Build where data lives. Deploy where latency matters. startuphub.ai/ai-news/ai-vid…

3 AM somewhere. Your gaming rig sits idle. A researcher in another timezone needs 500 GPUs for 6 hours. Their breakthrough waits. What if those two worlds connected? Not someday. Right now. That unused power becomes discovery fuel. This is why we build. #Raven #aicomputing

"AI has broken free from data center walls, running in streets, factories, hospitals, at the edge." Decentralized infrastructure: the new AI standard. Intelligence deployed where decisions happen. datacenters.com/news/decentral…

A startup dies not because the idea was bad. But because 3 weeks of GPU access costs more than 6 months of runway. Meanwhile: > Idle compute everywhere. > Gaming rigs overnight. > Edge devices between tasks. Economics killed by artificial scarcity. Raven is changing this.

gm to idle GPUs, underutilized servers, and every device that could be training models right now.

"CoreWeave: distributed, low-latency infrastructure for data sovereignty and responsive AI inference." Client-led infrastructure. Build where data lives. Deploy where latency matters. startuphub.ai/ai-news/ai-vid…

"An estimated 21% of enterprise cloud infrastructure spend equivalent to $44.5 billion in 2025 is wasted on underutilized resources." $44.5 billion. Wasted. Annually. While everyone complains about compute shortages. prnewswire.com/news-releases/…

GPU shortage pushing AI costs higher. Meanwhile, gaming rigs sit idle 18 hours/day. DePIN protocols are bridging this gap, turning underutilized hardware into productive infrastructure. Supply meets demand, differently. #RavenProtocol

"AI is shifting from hype to infrastructure. Better GPUs, enterprise-ready models, and automated deployment tools signal AI as core tech infrastructure, not experimental tech." The maturation is here. From lab to backbone. bostoninstituteofanalytics.org/blog/weekly-ma…

Infrastructure question nobody asks: Why build new when billions of devices sit idle? We turn scattered compute into coordinated training. $RAVEN

gm to devs training models on mismatched hardware because compute doesn't come in perfect matching sets heterogeneous > homogeneous.

Distributed training solves the wrong problem well. The right problem? Most compute power on Earth already exists, just disconnected. Ravenverse connects it.

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

gm to infrastructure builders who saw the distributed future before it was a trend.

"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…

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