Supermicro (SMCI) has revealed its new artificial intelligence factory cluster, which it said is a full-stack solution comprised of Supermicro's portfolio of AI-optimized systems, Nvidia (NVDA) ...
Company CEO Jensen Huang unveiled NVIDIA’s new hybrid computing architecture, NVQLink, on Tuesday, as well as the deployment of two new supercomputers at Argonne National Laboratory. Industry National ...
SAN JOSE, Calif., Oct. 13, 2025 /PRNewswire/ -- MiTAC Computing Technology, a global leader in high-performance and energy-efficient server solutions, is proud to announce its participation at the ...
What really happens after you hit enter on that AI prompt? WSJ’s Joanna Stern heads inside a data center to trace the journey and then grills up some steaks to show just how much energy it takes to ...
The Ascend series is Huawei's main competitive offering to Nvidia's AI chips and its current chip on the market is the Ascend 910C. Huawei is planning three new series over the next three years, ...
Dawning Information Industry Co. (Sugon) has partnered with more than 20 Chinese firms across AI chips, large models, and system integration to roll out a new open AI computing architecture. The ...
International Business Machines and Advanced Micro Devices are partnering to develop quantum-centric supercomputing, a next-generation architecture that combines quantum and high-performance computing ...
One of the major barriers to innovation in artificial intelligence is the sheer cost. Companies need millions of dollars in funding to buy the highest-end chips, or GPUs, that are required to develop, ...
SHANGHAI, July 26 (Reuters) - China's Huawei Technologies showed off an AI computing system on Saturday that one industry expert has said rivals Nvidia's most advanced offering, as the Chinese ...
Dr. Paul Terry is the CEO of Photonic. He is a seasoned entrepreneur, engineer and angel investor specializing in disruptive technologies. While quantum physics may sound like futuristic science ...
The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.