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 first Linux Docker container fully tested and optimized for NVIDIA RTX 5090 and RTX 5060 Blackwell GPUs, providing native support for both PyTorch and TensorFlow with CUDA 12.8. Run machine ...

AI infrastructure is the specialized combination of high-performance computing hardware, data centers, networking systems, ...

Future-proof your PC in 2025 with smart upgrades for AI workloads. Learn which CPU, GPU, RAM, storage, and cooling solutions ...

Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU ...

Abstract: Since 2017, NVIDIA GPUs have been equipped with specialized units known as Tensor Cores, which demonstrate remarkable efficiency in processing matrix multiplications (GEMMs). Beyond GEMMs, ...

After the release of Apollo510, Ambiq has released Apollo510B, an ultra-low power Edge AI MCU that adds a 48 MHz network ...

The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...

Alibaba and Huawei aren't the only ones working to end China's reliance on Western silicon. Last month, EE Times China reported that Tencent-backed startup Enflame was developing a new AI chip called ...

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...