The information was shared by Tran Minh Tuan, deputy director of the Institute of Digital Technology and Digital Transformation below the Ministry of Science and Technology (MST), on the twenty eighth National Conference on Electronics, Communications and Information Technology (REV-ECIT 2025) held on December 20.
Earlier, delivering opening remarks on the convention, Deputy Minister of Science and Technology Pham Duc Long mentioned that one of many ministry’s key instructions for 2026 is to proceed reviewing and eradicating institutional bottlenecks, unlocking and successfully mobilizing sources for science, know-how, and innovation. The constant spirit of the brand new legal guidelines is a shift from a administration mindset to a facilitation mindset, from “input management” to “output evaluation,” and from scattered funding to a deal with strategic applied sciences.
Building a high-performance computing (HPC) middle to help the event of Vietnam’s AI in 2026–2035 is a nationwide strategic venture geared toward establishing foundational infrastructure for Vietnam’s AI in the following decade, with a complete estimated price range of VND7,500 billion.
Reviewing key highlights of Vietnam’s present AI infrastructure, Tuan identified that the full AI infrastructure capacity nationwide as of 2024 had reached solely about 51MW, whereas 61.2 p.c of enterprises are deploying AI options. In addition, solely 22 p.c of that 61.2 p.c are really prepared to absolutely exploit the potential of this know-how.
These figures present a big hole between infrastructure provide and utility demand, in addition to the gap between “having AI” and “using AI proficiently.”
According to the MST’s consultant, the 2 largest limitations stopping Vietnamese enterprises from accessing AI are excessive deployment prices, with 46.7 p.c of enterprises going through monetary difficulties, and a scarcity of in-depth AI human sources, at 43.7 p.c.
These points reveal three national-level challenges: AI infrastructure scale is much too small in contrast to precise demand; there’s a lack of large-capacity energy provide; and there are not any particular requirements or rules to information AI infrastructure growth.
Meanwhile, Vietnam’s AI market is forecast to develop at about 18 p.c per 12 months from 2024 to 2030, reaching a measurement of $1.6 billion by 2030. This is a driving drive encouraging main enterprises equivalent to Viettel, FPT, and overseas companies to increase AI infrastructure in Vietnam.
Bringing Vietnam into the top 3 ASEAN
The venture is anticipated to be carried out in three phases: pilot (2026-2027), implementation (2028-2030), and completion (2031-2035). The most vital milestone in the completion section is reaching over 70 p.c technological self-reliance in functions, that means that the majority AI software program and options are developed by home groups fairly than counting on overseas merchandise.
“This autonomy not only reduces licensing and service costs but also ensures data security and technological independence, the key factors for Vietnam to truly master the AI revolution,” Tuan mentioned.
The venture duties embrace constructing HPC infrastructure, software program and platforms, functions and companies, knowledge growth, and human sources and ecosystems.
The venture proposes assigning MST to implement an Open Data Center for AI on the National Data Center, serving AI analysis, coaching, and utility with public data-sharing insurance policies at preferential or free charges relying on the consumer.
There will be three knowledge layers with growing complexity: a foundational Vietnamese multi-domain, multi-style LLM dataset reaching 200–400 billion tokens in section two (2028–2030); purely Vietnamese multimodal knowledge together with photographs, movies, and audio in section three (2031–2035); and specialised datasets for six precedence sectors: healthcare, logistics, agriculture, legislation, finance, and schooling.
The venture aims to convey Vietnam into the top 3 ASEAN for HPC capacity by 2035 by means of coaching 1,000 in-depth specialists in HPC and AI, making a human useful resource basis for the sustainable growth of the home AI trade.
The nationwide economic system is anticipated to reap twin advantages. On one hand, sharing computing sources as a substitute of particular person investments will assist companies and analysis organizations save over $100 million yearly in infrastructure prices. On the opposite hand, the nationwide AI infrastructure will foster the beginning of two AI unicorns valued at over $1 billion every, together with greater than 50 business AI merchandise for home and export markets, contributing 0.3 p.c to the nationwide GDP, equal to $1.5 billion per 12 months from AI and digital transformation actions.
The venture is hoped to improve Vietnam’s fundamental analysis capacity, with scientific simulation, local weather forecasting, vitality, and new materials growth capabilities growing by 300 p.c in contrast to the current, enabling proactive analysis and lowering dependence on overseas computing facilities.
Thai Khang