Theta announces collaboration with Singapore’s NTU
Theta Labs, a decentralized cloud infrastructure platform for artificial intelligence, media, and entertainment, has added Nanyang Technological University to its list of major integrations for the EdgeCloud product.
NTU Singapore is the latest academic institution to adopt EdgeCloud AI, a hybrid cloud computing platform for AI, gaming, rendering, and video. Theta Labs, which also develops the Theta Network (THETA) project, announced this latest partnership on Jan. 27.
NTU is one of Singapore’s top-ranked universities and recently placed 15th globally in the QS World University Rankings 2025. The institution joins the ranks of Stanford, MIT, and the University of Pennsylvania.
According to Theta Labs, the collaboration is expected to further expand EdgeCloud adoption across Singapore and Southeast Asia.
“We’ve seen Theta Labs success and collaboration with many of the top South Korean and US universities, and we’re excited to use EdgeCloud to scale our research at NTU’s Speech Lab. The platform’s easy-to-use distributed GPU infrastructure allows us to push our research into speech, language processing, multilingual ASR and real-time AI applications. This was a key driver for us to adopt Theta EdgeCloud,” Professor Chng Eng Siong said in a statement.
EdgeCloud will be integrated into NTU’s Speech and Language Laboratory.
The lab will leverage EdgeCloud’s decentralized graphic processing unit infrastructure for its speech and language AI projects. Real-time transcription and noise reduction are key areas of focus for the NTU lab.
Theta Labs has previously partnered with academic institutions such as Seoul National University, the University of Oregon, Peking University, and Michigan State University. EdgeCloud, which launched in May 2024, has also attracted non-academic customers, including FlyQuest esports and the National Hockey League’s Las Vegas Golden Knights.
Theta’s 2025 roadmap includes the beta launch of EdgeCloud’s hybrid cloud architecture, scheduled for June 25. Key features will include distributed edge architecture, a developer API interface, and GPU node upgrades.
