February brought milestones across research, product launches, esports, and team growth as Theta continued to execute on its 2026 roadmap. Here’s everything that happened this month.
Syracuse University Adopts AWS Trainium on EdgeCloud Hybrid
Syracuse University is now using AWS Trainium on Theta EdgeCloud Hybrid for generative AI research. The work is led by Assistant Professor Junzhe Zhang and focuses on flow-based diffusion models that use Hamiltonian dynamics to represent complex text and image data. The project runs through the AWS Neuron ecosystem on Trainium instances deployed via EdgeCloud Hybrid, and all research outcomes will be open-sourced.
Theta Intelligence Launches
We launched Theta Intelligence this month, an analytics platform that turns AI agent conversations into business insights. Organizations running EdgeCloud AI agents can now use that underutilized data to see what people are asking about, what’s trending, and how sentiment is shifting through real-time dashboards, automated alerts, and exportable reports. It works out of the box with existing EdgeCloud deployments, no additional setup required.
Theta Labs Welcomes New Head of Marketing & PR
We are excited to welcome a new Head of Marketing & PR to the Theta Labs team. As the ecosystem scales across AI infrastructure, esports, academia, and enterprise partnerships, this hire strengthens our ability to communicate Theta’s vision and bring more visibility to the work happening across Theta EdgeCloud and the broader decentralized AI ecosystem.
G2 Esports Launches AI Agent “Sami”
G2 Esports partnered with Theta Labs to turn its Sami mascot into an AI agent. As of this monht, Sami now lives on G2’s website and Discord, answering fan questions about match schedules, rosters, tournament standings, and competitive updates across League of Legends, Counter-Strike 2, VALORANT, Rainbow Six Siege, and Call of Duty. G2 joins Cloud9, FlyQuest, NRG, Dignitas, 100 Thieves, Sentinels, and others with their own Theta-powered AI agents.
Joint Research with Prof. Xiao Published in IEEE TPDS
Our joint research with Prof. Zhen Xiao’s team at Peking University was accepted by IEEE Transactions on Parallel and Distributed Systems, the flagship IEEE journal for distributed systems and parallel computing. The paper introduces Nexus, a transaction processing framework for permissioned blockchains that decouples execution from consensus and uses consistent hashing to prevent transaction duplication attacks. Results showed throughput gains of 4x to 15x and latency reductions of 50 to 70 percent.
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