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Huawei Accelerates AI Data Center Energy Efficiency with Optoelectronic Integration, CPO as Key Enabler
ASCII.jp Japan Overview Huawei is advancing energy-efficient solutions for AI data centers through optoelectronic integration technology, with a strong focus on Co-Packaged Optics (CPO). By integrating switch ASICs and optical engines wi... -
NTT’s IOWN DCI Rack Solution Launches in Japan: Optical Tech to Resolve AI Data Center Power, Heat, and Latency Issues
PR TIMES Japan Overview Itochu Techno-Solutions (CTC), APRESIA Systems, and Edgecore Networks Corporation have partnered to deploy the "IOWN DCI Rack Solution" in Japan, based on NTT's IOWN concept. This solution fundamentally redefines ... -
Broadcom Unveils VMware Cloud Foundation 9.1 to Enhance Cost-Efficiency and Security for Production AI in Private Clouds
Storage Newsletter USA Overview Broadcom has announced VMware Cloud Foundation (VCF) 9.1, a secure and cost-effective infrastructure platform engineered for production AI workloads. VCF 9.1 provides an AI and Kubernetes-native private cl... -
xAI’s Colossus 1 Supercomputer Rerouted for Anthropic Inference Due to Inefficiency, Blackwell-Exclusive Colossus 2 Planned
Tom's Hardware USA Overview xAI's Colossus 1 supercomputer, with its mixed NVIDIA H100/H200/GB200 GPU architecture, proved inefficient for Grok training, achieving only 11% GPU utilization. Consequently, Elon Musk leased the 220,000-GPU,... -
Surging Data Center Construction for Generative AI: Enormous Power Consumption and Infrastructure Challenges
JBpress Japan Overview The rapid advancement of generative AI is driving a global boom in large-scale data center construction, raising significant concerns about their enormous power consumption. These facilities are critical social inf... -
Zyphra Unveils ZAYA1-8B: Small AI Model Achieves Large-Scale Performance with 700M Active Parameters
ライブドアニュース (GIGAZINEからの転載) Japan Overview US AI startup Zyphra has released ZAYA1-8B, a compact inference language model trained on AMD GPU infrastructure. Despite being an 8-billion-parameter Mixture of Experts (MoE) model,... -
AI Chip Testing Market Enters Structural Expansion Driven by NVIDIA’s Rubin Platform and Custom ASIC Demand
Published May 04, 2026 口袋證券 (Pocket Securities) Overview The AI chip testing market is undergoing structural expansion, fueled by NVIDIA's transition to the Rubin platform and accelerated mass production of custom ASICs by Cloud Serv...
