股市分析

Both DRAM and NAND price increases affect Micron, but in different ways. Learn how DRAM, NAND, HBM, enterprise SSDs, and AI data center demand reshape Micron’s earnings and the memory cycle.

ASML is scheduled to report Q2 2026 earnings on July 15. This analysis looks at EUV order signals, Q1 results, Q2 guidance, backlog, High-NA EUV, AI chip demand, export controls, and trading costs to identify the key issues investors should watch before the report.

AI inference does not necessarily require more raw data than training, but it creates more persistent demand for server memory, KV cache, RAG databases, log retention, SSD/HDD tiering, and cold-data archiving. This guide breaks down the storage differences between AI training and inference, helping you understand AI server demand and the storage supply chain.

AI data centers are competing for enterprise SSDs because training data, checkpoints, inference caches, RAG, and vector databases all require low latency, high IOPS, and stable throughput, driving tight enterprise SSD supply.

Cloud providers are signing long-term HDD contracts to secure high-capacity nearline HDD supply for AI data centers, control $/TB storage costs, and improve expansion certainty. This article analyzes Western Digital and Seagate’s demand visibility, pricing power, technology roadmaps, and key investment indicators.

Microsoft, Amazon, Google, and Meta’s AI capex is reshaping the investment logic for storage stocks. Learn how cloud infrastructure spending flows into HBM, DRAM, SSDs, HDDs, and enterprise storage companies.

A Tesla Q2 earnings preview focused on deliveries, automotive gross margin, Robotaxi, FSD, energy storage deployments, capital spending, and Elon Musk’s guidance to assess whether TSLA will be driven by near-term earnings quality or long-term AI valuation.

A TSMC Q2 earnings call preview covering AI chip demand, HPC revenue, 3nm, N2, CoWoS, gross margin, capital expenditure, and valuation risks to help investors judge whether high growth remains well supported.

Samsung’s Q2 preliminary earnings preview focuses on HBM, DRAM, and NAND recovery trends, using Samsung’s Q1 results, Reuters market expectations, and TrendForce memory price forecasts to analyze AI storage demand, margin recovery, and key risks.