Agentic AI and inference reshape workloads, lifting server CPU demand. Shipments surge as CSP in-house Arm CPUs erode x86 share.
Inference demand drives CSP ASIC growth past GPUs; Google's next TPU adopts EMIB-T, with substrate yield key to cost.
Hyperscaler Capex keeps rising on price hikes and shortages; pricier AI racks drive server value growth over volume.
US hyperscalers keep expanding, but midterm-driven backlash may raise costs and delay permits for later-stage projects.
TrendForce combines its expertise in the Foundry/Server industry and leverages it with the supply chain to accurately estimate AI chip shipments, AI Server application ratios, AI major suppliers&a...
NVIDIA shipments stay Blackwell-led as Rubin's ramp slips into next year on HBM4 snags, keeping HBM the key bottleneck.
AI chip makers weigh downgrading HBM capacity, hitting capacity for KV cache, lifting offload memory demand, as 8hi stays mainstream.
AI compute surges in 2026 as ASICs rise, NVIDIA defends its ecosystem, and bandwidth becomes the bottleneck.
The AI industry entered a critical transition period in 2025, marked by the rapid expansion of LLMs and the large-scale commercialization of AI applications. For China’s semiconductor industry, this r...
NVIDIA advances its 800V Power Rack roadmap, with mass adoption expected from Rubin Ultra onward, while North American data center buildouts face delays from grid and equipment constraints.
HBM remains irreplaceable in AI accelerators. HBM4 ramps, tight supply lifts prices, and ASIC demand diversifies the supplier base.
Rising oil prices and freight costs heighten inflation risks, with AI supporting demand while ICT stockpiling turns conservative. Prolonged geopolitical conflicts sustain high energy costs, potentiall...
As data centers adopt HVDC architectures to reduce grid-to-chip power losses, demand for advanced power conversion and next-gen semiconductors surges. Meanwhile, Asian manufacturers continue to domina...
NVIDIA expands its AI factory via integrated GPU, CPU, and LPU racks for training and inference, securing its market lead.
AI chips represent the core cost component of computing infrastructure. Recently, reports that Google’s TPU has been adopted by several leading companies have drawn attention to the possibility of mor...
