Traditional data centers can’t keep pace with the demands of modern AI. From GPUs and liquid cooling to specialized storage, ...

For those looking to get the most out of their AI system, synthetic data proves useful when real historical data is scarce, sensitive or difficult to obtain.

Data scarcity. Training large AI models requires correspondingly large datasets. The indexed web contains about 500T words of unique text, and is projected to increase by 50% by 2030. Multimodal ...

The European Data Protection Board advised national regulators to allow personal data to be used for AI training, as long as the final product doesn’t reveal personal information.

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...

Wanma Technology recently announced that its Changzhou Intelligent Computing Center has leveraged NVIDIA's NVAIE overall software architecture and technical advantages to support automotive companies' ...

On August 26, 2025, financial news reported that the National Intellectual Property Administration revealed that China Mobile Communications Group Chongqing Co., Ltd. and China Mobile Communications ...