Innogrid Pushes Ahead With Commercialization of National AI-PaaS and AI-MDC R&D Results
TECHWORLD ·
✦ AI Summary
Innogrid said on the 8th that it is beginning commercialization by applying national R&D results to its own products and platforms.
The company carried out the "PaaS Technology Development for AI Model and Service Development" and "Scale-Out Cloud Development Linked to Micro Data Centers" projects, securing AI platform technology and AI infrastructure technology.
Based on the technologies it secured, Innogrid plans to expand its business scope from building AI infrastructure to model development, deployment, and operations, and to gradually reflect them in AICubeit and other offerings.
On the 8th, Innogrid announced that it is pushing ahead with applying national R&D results in the AI development and operations platform sector and the domestic AI semiconductor-based infrastructure sector to its own products and platforms, and that it has begun commercialization. The company carried out the "PaaS Technology Development for AI Model and Service Development" project and the "Scale-Out Cloud Development Linked to Micro Data Centers" project, and through each project secured AI platform technology and AI infrastructure technology.
Based on the technologies it secured in this way, Innogrid plans to expand its business scope from building AI infrastructure to model development, deployment, and operations. The company is moving toward commercialization by applying the AI platform technology and AI infrastructure technology secured through the two national projects to its own products and platforms.
The AI-PaaS project received support from the Ministry of Science and ICT and the Institute for Information & Communications Technology Planning & Evaluation (IITP), and aimed to secure AI model and service development and operations platform technology for various cloud service provider (CSP) environments. Innogrid participated as the lead organization for the AI-PaaS project and secured as a development result integrated gateway and portal technology that supports everything from AI model registration to service execution.
Participating organizations secured technology for shared data utilization, model execution and performance monitoring, and external system integration, and based on that secured the technologies needed for AI service development and operations. In addition, they carried out industry environment demonstrations in the bio, logistics, and document sectors.
Separately, the AI-MDC project also moved forward. Under this project, the team developed micro data center construction and operations technology using domestic AI semiconductors, while Innogrid was responsible for cloud technology for integrated management of distributed AI-MDC computing resources and cloud technology for workload-based resource allocation and scaling.
The project also included demonstrations in the manufacturing, healthcare, and public sectors, as well as demonstrations in breathing rehabilitation video analysis, collaborative autonomous mobile robots, and intelligent CCTV monitoring. On the 1st, participating organizations held a results-sharing session and shared core technologies, industry-specific demonstration results, and directions for commercialization.
Innogrid plans to link the results of the two projects into a single AI business framework going forward. To this end, it intends to combine the AI-PaaS capabilities for model development, training, deployment, and operations with the AI-MDC experience in operating infrastructure based on domestic AI semiconductors.
Innogrid is pursuing commercialization by applying technologies proven in national R&D to its own products and then providing them to match customer environments. The technologies it has secured are to be gradually reflected in its own AI platform, AICubeit, and in infrastructure technology.
This commercialization approach aligns with the "From xPU to AI Platform" strategy. Innogrid's strategy centers on linking infrastructure based on various computing resources, including GPU, NPU, and CPU, with an AI development and operations platform, with the goal of expanding into an integrated AI business.
Kim Myung-jin, CEO of Innogrid, said the company is accumulating technology and experience in two areas: the AI development and operations platform and infrastructure based on domestic AI semiconductors. He added that the company is pushing ahead with a plan to reflect national R&D results in its own products and platforms, and to connect them to businesses and services that customers can actually use.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407953
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Source: TECHWORLD
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