NVIDIA’s new NVFP4 low-precision training and inference technology promises to boost AI model throughput while maintaining accuracy. This advancement could speed up AI innovation, reduce costs, and sh...
AI data centers are consuming electricity at unprecedented levels, prompting companies like Nvidia to trial flexible power use and explore advanced cooling techniques such as liquid cooling. Floating ...
As AI workloads surge, traditional data center power and cooling systems face critical limits. Innovations like offshore floating wind farms and advanced liquid cooling offer complementary solutions t...
Telecom operators are increasingly outsourcing AI infrastructure to hyperscale cloud providers due to rising on-premises costs and operational challenges. This shift enhances scalability and innovatio...
A recent Electric Power Research Institute report warns that the rapid expansion of AI data centers is placing significant strain on the U.S. electric grid, threatening grid reliability, environmental...
NVIDIA’s NVFP4 low-precision format, combined with advances in 25G Ethernet networking and liquid cooling, is quietly reshaping AI infrastructure. These developments improve training speed, data movem...
The Mesh argues that telecom operators must transition from on-premises AI infrastructure to cloud outsourcing to control soaring costs and accelerate innovation. While data sovereignty and control co...
The rapid growth of AI data centers is imposing unprecedented demands on the US power grid, raising concerns about reliability and sustainability. This analysis explores how emerging solutions like vi...
Marvell Technology’s focused strategy on AI interconnects and custom silicon, supported by strong revenue growth and strategic partnerships like Celestial AI, is reshaping semiconductor market dynamic...
NVIDIA’s NVFP4 low-precision floating-point format significantly improves AI training and inference efficiency by increasing throughput and reducing power consumption without sacrificing accuracy. Int...