Samsung Electronics Announces First Quarter 2026 Results
…Development of the 1.4nm node remains on track, with the Business also pursuing the expansion of large-scale 2nm customers. Looking ahead to H2 2026, the Foundry Business plans to start…
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Scaling the Memory Wall: The Rise and Roadmap of HBM
…The implication is that AI accelerators need a lot of off-chip bandwidth for memory and the scale up and scale out fabrics. Bandwidth is needed to move the processed data off…
TrendForce on MacRumors
…For those who are not caught up to speed, prices for both DRAM and NAND storage chips have been surging lately due to increased demand from companies building out AI servers. Nvidia…
WEBINAR: Why Google Cloud NetApp Volumes Matter for Modern EDA Workloads - Semiwiki
…Google Cloud enables organizations to scale compute resources on demand, while NetApp Volumes allows storage capacity and performance to scale alongside those workloads. This flexibility helps organizations avoid the costs associated with…
An AI-Native Architecture That Eliminates GPU Inefficiencies - Semiwiki
…As models scale, throughput remains flat and predictable as long as active tensors fit within the available TCM. Simplified Scaling and System-Level Efficiency From a system-level perspective, this results in…
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