HPC
High-Performance Computing.
How the laws define this
Both sources establish high-performance computing as the deployment of supercomputers to power large-scale AI model training and handle computationally intensive or complex computational problems. However, they diverge in how they conceptualize its operational scope and regulatory framing. The definition in اساسنامه سازمان ملی هوش مصنوعی frames HPC primarily as a technical methodology, emphasizing the use of parallel processing techniques to solve complex problems necessary for training large models. In contrast, the Thailand National AI Strategy 2022-2027 defines HPC as designated services aimed at supporting not only model training, but also broader data processing and advanced R&D. Furthermore, the Thailand National AI Strategy 2022-2027 explicitly connects these services to national infrastructure implementation, calling for them to be scaled and integrated with public structures like the GDCC and highlighting specific programs such as the LANTA initiative. Organizations evaluating compliance must therefore consider whether HPC is regulated strictly as a technical computational method or as a broader, state-integrated infrastructure service.
Synthesised from the 2 statutory definitions below. Each one is quoted in full, with its source.
Definitions (2)
The use of supercomputers and parallel processing techniques to solve complex computational problems, essential for training large AI models.
High-performance and supercomputing services designated to support large-scale model training, data processing and advanced R&D (e.g., the LANTA initiative); planned to be scaled and integrated with national infrastructure like the GDCC to enable computationally intensive AI projects.