A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

VP of China SIA Wei Shaojun urged China and other Asian nations to abandon reliance on Nvidia GPUs for AI and instead develop ...

The rise of AI-ready private clouds represents a fundamental shift in how enterprises approach infrastructure. The objective is not to dismiss public cloud solutions, but to establish a robust ...

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 ...

AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

Together Computer Inc., a startup building a cloud service optimized for artificial intelligence model development and ...

That's likely why NVIDIA is reportedly willing to pay top dollar to be the very first customer for TSMC's A16 process—at ...

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

Imagination's Technical Director, Ike, attended the event and delivered a keynote speech titled "Driving the Future: High-Safety GPU+AI Integrated Computing Architecture for Intelligent Cockpits." Ike ...

AMD’s best graphics cards of this generation all fall under the RDNA 4 umbrella. Also known as the RX 9000 series, these GPUs bring notable improvements over the previous generation, but they also don ...

Accelerating OpenFOAM Simulations with GPU Technologies So, you’re looking to speed up your OpenFOAM simulations? That’s where ...