In 2026, advances in 25G Ethernet and a shift toward power-efficient edge GPU designs are jointly enabling real-time AI processing at the network edge. These innovations address critical challenges of...
In 2026, AI infrastructure scaling is constrained by power consumption limits, network bandwidth demands, and manufacturing shifts. Innovations like NVIDIA's NVFP4 low-precision format and 25G Etherne...
Marvell’s focused strategy as a pure-play AI interconnect chipmaker sharply contrasts with Broadcom’s diversified approach, positioning it to lead the rapidly growing AI data center infrastructure mar...
NVIDIA’s decision to shift H200 GPU manufacturing out of China toward Vera Rubin chip production marks a strategic realignment driven by geopolitical pressures and regulatory complexities. This move h...
Emerging AI infrastructure trends—including NVIDIA’s NVFP4 low-precision format, 25G Ethernet networking, and power-efficient edge GPU designs—are collectively transforming real-time AI deployment. Th...
Recent advancements in AI infrastructure—namely NVFP4 GPU precision, 25G Ethernet networking, and liquid cooling—are collectively transforming AI performance and efficiency. These integrated innovatio...
The rapid growth of AI data centers is placing unprecedented strain on the U.S. power grid, demanding urgent action to integrate advanced nuclear power and innovative energy solutions. This editorial ...
Marvell Technology’s recent strong Q1 results highlight a growing trend in AI chip design: hardware specialization. Unlike competitors who lean on software optimization, Marvell focuses on custom sili...
Advancements in power-efficient edge GPUs and 25G Ethernet connectivity are reshaping AI infrastructure design by balancing computational demands with energy constraints. This analysis explores how in...
This analysis examines how recent innovations in AI infrastructure—NVIDIA’s NVFP4 low-precision format, 25G Ethernet networking, and advanced liquid cooling—collectively address critical challenges in...