Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...

This tool can reduce the training time of large-scale machine learning models by half while maintaining performance. This is undoubtedly a significant breakthrough for researchers and developers ...

Hyperscaler investments in GPUs and accelerators will nearly double the size of the AI server market, the analyst firm said ...

Therefore, parallel computing and acceleration techniques have become crucial in the research and application of neural networks, as they can significantly enhance the performance and efficiency of ...

In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...

Investors have witnessed record gains throughout the AI revolution, but which stocks are truly worth holding onto for the ...

Investors can start buying shares in several leading artificial intelligence (AI) stocks with a modest sum of just $1,000.

In my earlier column on Apple’s new iPhone Air, I covered how the company is pivoting back to design and user experience. In ...

VP of China SIA Wei Shaojun urged China and other Asian nations to abandon reliance on Nvidia GPUs for AI and instead develop dedicated processors for LLM training to ensure long-term technological ...

The Indispensable Role of Data Centers in AI Advancement Artificial intelligence isn’t just a buzzword anymore; it’s ...

Delta is leveraging Infineon’s integrated power-stages — and the ultra-thin power MOSFETs inside them — to develop a vertical ...

Nvidia, already an industry giant with a market cap around $300 billion at the start of the bull market has seen its value ...