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.
How jurisdictions differ
What is distinctive in each definition, binding law in force first.
| Jurisdiction | Instrument | Status | What is distinctive |
|---|---|---|---|
| Iran | Statute of the National Artificial Intelligence Organization | In Force | This definition emphasizes supercomputers and parallel processing techniques specifically for solving complex computational problems essential for training large AI models. |
| Thailand | Thailand National AI Strategy 2022-2027 | Adopted | This definition widens the scope to include high-performance and supercomputing services supporting large-scale model training, data processing, advanced R&D, and national infrastructure integration like the LANTA initiative and GDCC. |
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.
Questions and answers
What makes HPC essential in Iran's AI organization?
In Iran's Statute of the National Artificial Intelligence Organization, HPC is defined as the use of supercomputers and parallel processing techniques essential for training large AI models. This supports the organization's goals in AI governance, infrastructure, and strategic development.
How does Thailand's AI strategy incorporate HPC?
Thailand's National AI Strategy 2022-2027 defines HPC as high-performance and supercomputing services to support large-scale model training, data processing, and advanced R&D through initiatives like LANTA, scaled and integrated with national infrastructure such as the GDCC.
In what contexts is HPC defined for AI purposes?
HPC is defined in Iran's Statute for using supercomputers to train large AI models and in Thailand's National AI Strategy for supporting computationally intensive AI projects via national supercomputing services.