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AI Infrastructure Pushes the Global Chip Market Toward $1.6 Trillion

The global semiconductor industry is on track for an exceptional year as investment in artificial intelligence infrastructure reshapes demand for chips, especially memory products. Gartner now expects worldwide semiconductor revenue to reach about $1.6 trillion in 2026, up 92% from $809 billion in 2025. The research firm also forecasts that […]

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Power constraints could delay much of 2026’s data-center expansion

As much as half of the large-scale data-center capacity planned for 2026 may not become operational on schedule, according to a new outlook from energy intelligence company Currence. The company attributes the expected delays to several factors, including limited access to electricity, construction-related bottlenecks, shortages of skilled workers and growing […]

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Huawei Eyes Entry Into the DRAM Market

Huawei is reportedly preparing to move into DRAM manufacturing, aiming to capture a slice of the highly profitable memory business. The company is stepping into a market currently dominated by three major players—Micron, SK hynix, and Samsung—which together control roughly 95% of global DRAM supply. While smaller Chinese manufacturers like […]

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Lotus Microsystems Targets AI Power Efficiency with vStrata Platform

Lotus Microsystems has launched vStrata, a new power-delivery architecture designed to boost data-center power efficiency. The company says the platform is especially relevant for AI-driven workloads, which are pushing up power demand and cooling costs across hyperscale facilities. What vStrata Does At the core of vStrata is Lotus’s proprietary Power […]

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AMD Launches AI-Focused Instinct MI350P PCIe Cards for Existing Servers

AMD has introduced the Instinct MI350P PCIe, a new enterprise GPU accelerator designed to fit into servers that organizations already own, without requiring a full data center rebuild. The card targets agentic AI and on‑premises inference, and is a dual‑slot, air‑cooled PCIe add‑in that can be dropped into standard 2U (or larger) servers. […]

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Google Splits Its New TPUs for Training and Inference

Google has introduced two eighth-generation TPUs, designed separately for training and inference workloads. The move marks a clear return to a split-chip strategy, with each accelerator tuned for different performance, memory, and networking requirements across the AI lifecycle. For Google, this is not a brand-new idea. The company has taken […]

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