Real-time workloads demand infrastructure that scales dynamically and operates without delays.
@ionet delivers: ⚡ GPU clusters created in under 1 minute 🌍 Over 300K verified GPUs across 130+ countries, ready for global-scale applications 🤖 Real-time orchestration optimized for LLMs, multimodal AI, and decentralized inference
.@ionet’s CBDO @protaucol shares the vision for partnerships in 2025:
🤖 Expanding partnerships across decentralized AI verticals (data sets, pre-training, agents) 🌍 Engaging with enterprise customers for AI/ML at scale ⚙️ Enhancing developer experience to rival web2 platforms
"GPUs are the lifeblood of LLMs or any model." @tintsion, Co-Founder of Zerebro
In our recent Space, @tintsion explained how @ionet provides the decentralized GPU infrastructure AI agents need to scale and unlock new capabilities. 👇
Over-provisioned systems waste resources, while under-provisioned ones create inefficiencies.
@ionet’s Dynamic Resource Scaling offers a smarter alternative: real-time GPU allocation that adapts to any workload, ensuring peak utilization and controlled costs.
From startups scaling their first models to enterprises optimizing AI pipelines, @ionet delivers precision at every level.
AI agents are evolving along two diverging paths: • Crypto ecosystems: Focus on token-driven incentives to align communities and foster innovation. • Traditional tech: Building interoperability for seamless, real-world AI applications.
At the center of this evolution is @ionet, delivering decentralized infrastructure to power both🧵
.@ionet uses NVLinks to accelerate GPU communication, delivering: 🔗 High-bandwidth connections for uninterrupted data flow ⚡ Reduced training times for advanced AI models 🚀 Superior performance for LLMs and generative AI workloads
At traditional data centers: ⚙️ 70% of GPUs sit idle due to limited BD and marketing resources 💸 Big Cloud drives up costs by subsidizing unrelated business units 📉Operators often have no choice but to sell compute at low margins
Hear @ionet's APAC Lead @TheAntiApe discuss the benefits of @ionet vs. centralized compute networks in @HouseofChimera 's DePin Roundtable 👇
"Adding capacity is as simple as connecting new providers to our platform. While substantial GPU capacity exists globally, no one has aggregated it efficiently—until now." - @Gaurav_ionet
Discover how @ionet is democratizing access to GPU compute in our CTO's exclusive @hackernoon interview