Jamcoding Signs On as Theta EdgeCloud AI Customer to Drive E-Learning

Theta Labs
Theta Network
Published in
3 min readSep 15, 2024

We’re excited to announce that Jamcoding, one of South Korea’s leading online and in-person coding programs, has signed on as an EdgeCloud AI corporate 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.

Growth of the E-learning enterprise opportunity

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. EdgeCloud is poised to capture a large part of this market segment’s hypergrowth.

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 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.

“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.”

EdgeCloud fit for enterprises of all types

EdgeCloud is powered by 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.

With these advantages 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 that recent success in academia, Theta is quickly expanding into corporate and enterprise customer segments with Jamcoding.

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Theta Labs
Theta Network

Creators of the Theta Network and EdgeCloud AI — see www.ThetaLabs.org for more info!