The rapid development of artificial intelligence (AI) poses new challenges regarding
the hardware
requirements of AI applications, especially in the context of global supply chains.
AI applications are useful
in various fields, including logistics, supply chain management, and the defence sector,
but their widespread
adoption puts significant pressure on both hardware infrastructure and supply chains.
Efficient operation of AI applications often requires high-performance hardware, including
appropriate
CPUs, GPUs, and other components. Any delays or errors in supply chains and manufacturing
processes
can significantly impact our AI projects.
Energy consumption is another critical consideration, particularly in areas with limited
electrical power.
High-energy-demand AI systems can pose serious challenges for energy supply and sustainability.
The increasing hardware requirements and their impact on supply chains influence the
global economy and
business competitiveness. The broader adoption of AI applications may intensify pressure
on supply chains,
necessitating the development of processes and systems for improved efficiency and
sustainability.
Effective supply chain operation and data processing generated by AI applications
are vital for economic
growth and competitiveness. Understanding and managing the hardware requirements of
AI and their
supply chain impact are crucial for future development and innovation.
