Nvidia GPU Demand Remains Strong as Blackwell Tightens - Let's Data Science

According to a recent report from Wedbush, demand for NVIDIA's 'Grace Blackwell' GPUs remains robust, straining the supply chain, particularly due to tightening memory supplies. This situation highlig... Read original →

The Blackwell supply crunch stems not from wafer output alone but from structural bottlenecks in HBM3e/HBM4 memory and advanced packaging capacity. This forces AI infrastructure to shift from brute-force scaling toward efficiency-driven architectures, accelerating adoption of chiplet integration and near-memory computing. Compliance-wise, U.S. export controls compel NVIDIA to maintain region-specific SKUs, inflating R&D and inventory costs; meanwhile, concentrated sourcing of ABF substrates and photoresists drives redundant supply chains across Taiwan, China, South Korea, and the U.S. AMD’s MI300 gains limited traction due to its weaker full-stack software ecosystem, while cloud hyperscalers like AWS may delay custom AI chip rollouts, extending A100/H100 cluster lifespans. Over the next 12–24 months, GPU scarcity will push model compression, sparsity, and mixed-precision training into mainstream AI workflows—making TSMC’s CoWoS capacity expansion a new flashpoint in tech geopolitics.