Nvidia isn’t building quantum computers, instead it’s using its supercomputing strengths to accelerate quantum computing ...

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

Dubbed the "Nvidia killer," Cerebras' wafer-scale engine has reportedly crushed Nvidia's H200 in raw AI training power: 125 ...

Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.

The startup behind open source tool PyTorch Lightning has merged with compute provider Voltage Park to create a “full stack ...

Image courtesy by QUE.com The global landscape of artificial intelligence (AI) is expanding at an unprecedented rate. For ...

Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...

Image courtesy by QUE.com In the world of artificial intelligence (AI), hardware advancements are often pivotal for ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical ...

China Telecom has developed the country’s first artificial intelligence models with the innovative Mixture-of-Experts (MoE) ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

Sid Pardeshi, a former Nvidia engineer-turned founder, said Jensen Huang inspired him to launch an AI company, and taught him ...