According to Mark (@MRRydon) on Twitter, the push for greater GPU efficiency is gaining momentum, with AethirCloud highlighted as a key player in addressing this challenge (source: @MRRydon, May 17, 2025). For crypto miners and algorithmic traders, AethirCloud’s focus on optimizing GPU resource allocation and virtualization can lower operational costs and increase mining profitability. Improved GPU utilization may also support more efficient deployment of AI models in trading applications, enhancing speed and energy savings. Traders should monitor AethirCloud’s developments for potential advantages in crypto mining and AI-driven market strategies (source: @AethirCloud, May 17, 2025).

According to Paolo Ardoino, the future of AI model training will not rely on the brute force of 1 million GPUs. Instead, the development of better models will significantly reduce training costs, emphasizing that access to data will remain crucial. Ardoino suggests that inference will move to local or edge computing, making the current expenditure on brute force methods seem inefficient in hindsight.