Theta Network

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Theta Network

Theta Network

@Theta_Network

Theta is the leading decentralized cloud for AI, media and entertainment ☁️. Where the world's compute comes together 🌍 https://t.co/tyqwF5KhAF

San Jose, CA Katılım Ekim 2017
220 Takip Edilen270.6K Takipçiler
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Theta Network
Theta Network@Theta_Network·
We just relaunched our homepage. New tagline, cleaner story. Here's the version we never quite told properly. 🧵
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Theta Network
Theta Network@Theta_Network·
Theta offers GPU compute matched to your workload, instant and affordable. No more paying for what you don't use. No more H100s when distributed inference will do. Sign up at thetaedgecloud.com. No call required. 🖥️
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Theta Network@Theta_Network·
For many real-world AI jobs, the advantage is not simply having the biggest GPU available. It is getting the right GPU, at the right cost, for the result you need. Read their full report: mckinsey.com/industries/tec… Get started with us at thetaedgecloud.com
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Theta Network@Theta_Network·
By combining H100 and H200 GPUs for demanding workloads with distributed RTX-class GPUs for smaller, parallel tasks, Theta gives AI teams a more flexible and cost-efficient way to scale inference.
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Theta Network@Theta_Network·
McKinsey expects inference to overtake training as the main AI workload by 2030. That means more AI spending will shift from building models to running them every day in products like chatbots, search, recommendations and creative tools. 🧵
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Theta Network
Theta Network@Theta_Network·
Dr. Ferheen Ayaz, Lecturer in Computer Science and member of the Centre for Software Reliability, is working with EdgeCloud to support her research into edge AI security, distributed systems, and energy-efficient computing.
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Theta Network@Theta_Network·
We're pleased to welcome City St George's, University of London to Theta EdgeCloud's academic network, our 34th university partner globally & our 2nd in the UK. 🧵
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Theta Network@Theta_Network·
Theta EdgeCloud is the first decentralised compute platform approved by @AWS to run their custom AI silicon. We did it in collaboration with @yonsei_u, one of Asia's top AI research institutions. 🧵
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Theta Network@Theta_Network·
The best validation we can ask for is researchers choosing to build here. We are proud that Theta EdgeCloud has become a home for some of the most important AI research happening today.
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Theta Network
Theta Network@Theta_Network·
Two papers from our research collaboration with Prof. Xiao at Peking University accepted to WWW'26 — one tackling intelligent blockchain optimization, one on agentic LLM decision-making. The kind of foundational work that EdgeCloud is built on. 🧠
Jieyi Long | Theta Network@jieyilong

Excited to share that @Theta_Network’s joint research with Prof. Xiao @ZhenXiaoCornell’s team has two papers accepted to @TheWebConf 2026 (WWW’26)! 🎉 📄 Alzo: Auto-Tuning with Reinforcement Learning for DAG-based Blockchains: dl.acm.org/doi/10.1145/37… 📄 DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs: dl.acm.org/doi/10.1145/37… The Web Conference (WWW) is a premier international forum on the future of the web, covering cutting-edge research in #AI, decentralized systems, Web3, and beyond. These two papers connect directly with our long-term vision for Theta EdgeCloud: building intelligent, decentralized infrastructure where AI models, compute resources, and blockchain networks can continuously optimize themselves. DARA explores how RL-finetuned LLMs can make better decisions under limited data. It introduces: -- Dual-phase LLM agents: a Few-shot Reasoner for initial planning and a Fine-grained Optimizer for feedback-driven refinement. -- GRPO-Adaptive: an RL fine-tuning strategy that improves reasoning and numerical precision. -- Real-world + synthetic evaluation for robust decision-making in dynamic environments. This direction is highly relevant to EdgeCloud as we build toward agentic AI workloads, model-serving optimization, and intelligent resource allocation across distributed GPU infrastructure. Alzo presents a hierarchical RL framework for automatically tuning DAG-based blockchains. It addresses the challenge that blockchain performance depends on many interdependent parameters across network, ledger, and node layers. Alzo introduces: -- Hierarchical RL: a Meta-Controller for strategic planning and domain-specific Controllers for fine-grained tuning. -- Safety-aware optimization with resource constraints and a shadow-control loop. -- Experiments showing higher throughput and lower latency than DQN, Bayesian optimization, and manual tuning. This aligns with Theta’s blockchain-powered EdgeCloud infrastructure: using AI to make decentralized networks more adaptive, efficient, and production-ready. As always, @Theta_Network remains committed to advancing the intersection of #AI, #Web3, and decentralized infrastructure. Stay tuned for more breakthroughs! 🌐

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Theta Network
Theta Network@Theta_Network·
NEW: We just shipped PageIndex for Theta EdgeCloud AI agents. It fixes one of the most common reasons AI agents give bad answers, and the benchmark numbers are worth a look. It's also already available for your Theta-powered AI agents. 🧵
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