AMD is currently facing challenges in meeting the high volume of requests for server CPUs, which places limits on the resources available for AI inference and training. Instead of waiting for the production of additional chips, Theta EdgeCloud resolves this bottleneck by harnessing existing hardware. It incorporates dormant CPUs and GPUs from a distributed network to bolster the supply. 🌐⚡
There is a noticeable rush among AI enterprises to secure more budget-friendly inference chips, specifically Broadcom TPUs, rather than defaulting to Nvidia GPUs. The industry is realizing that high-end hardware is not a prerequisite for every single workload. This development validates the strategy behind Theta EdgeCloud, which has effectively demonstrated the value of utilizing consumer GPUs. Being flexible is increasingly important.
A growing number of AI companies are pivoting toward more affordable inference chips, such as Broadcom TPUs, instead of relying on Nvidia GPUs. This shift confirms that premium hardware is not essential for every AI workload. Theta EdgeCloud has been demonstrating this exact principle by successfully leveraging consumer GPUs.
Typically, organizations rely on social monitoring, surveys, and focus groups to gather feedback from their customers. Unfortunately, the data often arrives too late, meaning the critical moment has already slipped away. We are debuting Theta Intelligence to address this lag. This solution operates by converting AI agent conversations into real-time business insights.
It was great to see Theta EdgeCloud user @NJDevils featuring us on the boards this past weekend. Although the final score was not in our favor, collaborating with teams that are pioneering the future of sports technology is always considered a success.
We noticed Theta EdgeCloud user @NJDevils representing us on the boards over the weekend. Although the game did not end with the score we wanted, collaborating with teams that are powering the future of sports tech is a win in itself. Best of luck next time!
We are excited to highlight a series of major milestones from the past month. Imperial College London has officially joined us as our inaugural European university partner, and we have welcomed NTT Digital to the network as a global validator. On the technical front, the MCP server has successfully launched, while our EdgeCloud APIs are now accessible via RapidAPI, placing these tools within reach of millions of developers. Additionally, the proposal for TDROP 2.0 has passed. There is much more on the horizon. For a comprehensive overview, please read the full January recap at this link: https://medium.com/theta-network/theta-roundup-january-2026-549633b5e1e0
It is a thrilling moment for us to announce that Theta Labs has successfully secured the patent rights for "Hybrid Cloud-Edge Computing Architecture for Decentralized Computing Platform"!
This accomplishment serves as confirmation of our multi-year dedication to innovating solutions for the most significant difficulty in AI: providing computing power that is both cost-effective and adaptable. 🧵
Theta Network remains dedicated to energizing the upcoming era of decentralized AI. Our primary strategy centers on expanding the AI agent economy by utilizing the decentralized GPU infrastructure provided by EdgeCloud. Furthermore, we are actively pushing for tangible adoption throughout vital sectors, specifically enterprise, sports, esports, and telecom.
Effective today, leveraging the AI models within Theta EdgeCloud is more straightforward. We have deployed an official MCP server that links 18+ models with Claude Desktop, Cline, Cursor, and additional MCP-compatible tools. This allows you to produce images, transcribe audio, and run LLM inference using nothing but natural language. 💬
Major telecommunications companies have increasingly entered the blockchain space in recent years. If you understand both industries, the operational and technical parallels are unmistakable.
Theta EdgeCloud On-Demand Model APIs are now live on RapidAPI and are instantly accessible to 3M+ developers who collectively process billions of API calls monthly. You can subscribe once and integrate in under 60 seconds, with no separate accounts or API key management required. ⚡️
Theta EdgeCloud On-Demand Model APIs are now available on RapidAPI, providing immediate access to 3M+ developers who collectively process billions of API calls every month.
Simply subscribe once to integrate in under 60 seconds, with no need for separate accounts or API key management. ⚡️
Theta is excited to announce today that @imperialcollege is officially joining Theta EdgeCloud, marking our inaugural university partnership in the U.K. and Europe.
Their Security & Machine Learning Lab will leverage our hybrid GPU infrastructure to drive pioneering research in AI security. 🧵
In case you missed it: You still have an opportunity to participate in the TDROP 2.0 voting! 🗳️🥳
If you have previously staked and delegated your TDROP prior to the commencement of the voting period, please visit https://governance.thetadrop.com/proposal/10 to submit your vote.
In December, we accomplished a significant amount of work, notably advancing the adoption of Theta EdgeCloud and officially launching it beyond the beta phase. For further details, please check out our monthly blog post below 👇
As we conclude the year 2025, we take great pride in the successful execution of our Roadmap. We invite you to join us in reminiscing about the past year as we prepare for what 2026 holds. Stay tuned for more updates! 🚀
Here’s another selection of end-of-year videos featuring our highly regarded partners. The initial video comes from our friends at @NJDevils, @100Thieves, and @dignitas. These three outstanding sports brands have effectively leveraged Theta EdgeCloud for their AI-driven chatbots, showcasing genuine and practical applications. 🚀