Theta Signs Up Jamcoding as the First Corporate Customer of EdgeCloud AI

SAN FRANCISCO, CA - September 16, 2024 – Theta Labs, the leading provider of decentralized cloud infrastructure for AI, media, and entertainment, has announced that Jamcoding, one of South Korea's leading online and in-person coding programs, has signed on as an EdgeCloud AI customer. This multi-year agreement seeks to utilize Theta EdgeCloud’s distributed GPU resources to support multiple student applications including general AI education, AI model training, and open-source AI development.     Jamcoding, also known as ‘Fun Coding’ in Korean, operates across 9 retail learning locations and offers online courses to students globally. With thousands of students around the world, Jamcoding has built a stellar reputation for delivering impressive results. To date, more than 170 patents have been registered by Jamcoding students, showcasing their innovation and creativity. Additionally, over 40 students have gained admission to prestigious universities such as Columbia University, New York University, the London School of Economics, Seoul National University, KAIST, while over 70 students have earned awards in the Korea Olympiad in Informatics (KOI) and other national and international coding competitions. Jamcoding students have secured 116 admissions to gifted education programs, solidifying the institution's standing as a leader in coding education.   Through this partnership, Jamcoding will gain access to scalable and the most cost-effective option for integrating AI into its curriculum design, utilizing flexible, on-demand GPU resources from Theta EdgeCloud to meet the evolving demands of AI education. This places Jamcoding at the forefront of AI-powered education, empowering them to provide students with a more personalized and effective learning experience.   Theta EdgeCloud, known as an innovative hybrid cloud-edge computing AI platform, is powered by the Theta Edge Network with over 30,000 distributed edge nodes, and cloud partners including Google Cloud and Amazon Web Services offering over 80 PetaFLOPS of always available distributed GPU compute power. This vast resource pool enables enterprises, academic institutions, and startups alike to overcome the limitations of traditional in-house GPU clusters, which are often costly to maintain and challenging to scale.   EdgeCloud has gained significant traction in the academic space recently with Seoul Women's University(SWU), KAIST and Yonsei University each announcing they are utilizing EdgeCloud distributed infrastructure to advance their AI research. SWU's AI to Everything (AIX) Lab, under the leadership of Professor Minseo Park, plans to leverage Theta EdgeCloud's hybrid cloud-edge AI computing platform to drive research in healthcare, bioinformatics, and finance.     “Building on our recent success in academia with KAIST, Yonsei University and SWU, Theta is quickly expanding into corporate and enterprise customer segments with Jamcoding,” said Mitch Liu, co-founder and CEO of Theta Labs. “The global e-learning market including online and in-person coding programs is over USD 500 billion today, and expected to reach USD 1.4 trillion in 2031, fueled by the increasing demand for technical skills including AI across industries. We hope to capture a big part of this market segment's hypergrowth.”   “As one of the fastest growing in-person and online coding franchises in Korea, Jamcoding educators and students need the most cost-effective on-demand access to GPUs to support various AI education programs,” said Juyoung Cha, CEO of Jamcoding. “EdgeCloud stands out as the easiest to use and fastest to onboard GPU resource provider compared to other cloud providers and delivers the best price-to-performance allowing us to aggressively expand our business over the next five years.”    박원중 기자 ([email protected])international coding students showcasing gpu resources