
SK hynix passes Samsung as South Korea's most valuable company — memory company surpasses valuation milestone on the back of HBM
• SK hynix's early and sustained investment in HBM has positioned it as the primary beneficiary of the AI infrastructure boom, allowing it to surpass Samsung in market value and emerge as the leading AI memory supplier. Meanwhile, Samsung has fallen behind in HBM market share and customer adoption, prompting a renewed focus on next-generation HBM development, yield improvement, and qualification with major AI customers to strengthen its position in the rapidly growing AI memory market.
Kioxia emerges as a major AI storage beneficiary
• Kioxia reportedly surpassed Toyota in market capitalization, highlighting investor optimism toward AI-driven storage demand. The company advanced its next-generation 332-layer BiCS10 NAND roadmap and continued evaluating future fab expansions. Kioxia increasingly relies on LTAs and long-term customer commitments to manage constrained NAND supply.
Sandisk strategically focuses on AI-driven capacity allocation and next-generation NAND roadmap
• The company is shifting capacity toward AI and enterprise storage markets while advancing next-generation BiCS NAND, high-capacity QLC SSDs, and long-term customer agreements to strengthen its position in the rapidly expanding AI infrastructure ecosystem. The prioritized high-capacity QLC NAND and enterprise SSD development, including its Stargate architecture and future ultra-large-capacity SSD roadmap, is targeting AI storage clusters and hyperscale datacenters.


To reinforce South Korea‘s leadership in the AI memory era, the government has launched a $520 billion public-private semiconductor investment program alongside Samsung and SK hynix, including four new fabs and dedicated HBM production facilities. The initiative highlights the industry's long-term confidence that AI-driven demand will continue to drive substantial memory capacity expansion and technology investment.
Micron–Anthropic strategic agreement to scale next-generation AI infrastructure
•Micron is securing long-term AI demand while evolving from a component supplier into a strategic AI infrastructure partner, leveraging HBM, DRAM, SSDs, and ecosystem investments to strengthen its position in the AI value chain. The collaboration with Anthropic provides both long-term demand visibility and an opportunity to co-develop AI-optimized memory and storage solutions for future large-scale AI deployments.

demand for legacy‑node SSDs is minimal within overall SSD shipments. Rapid expansion in AI‑related applications in 2026 is expected to drive sustained growth in demand for mainstream advanced‑node 3D‑type SSD products.
Flash Sufficiency: limited wafer starts and controlled output reductions initially constrain supply, while gradual capacity adjustments and demand normalization improve availability in 2H26.Despite improving supply conditions, the market is expected to remain relatively tight for most of 2026, preventing any meaningful price correction.
Price Trend: capacity reallocation toward higher-margin products tightens market availability and supports sustained price increases.Spot prices may remain slightly above contract prices during periods of short-term procurement urgency and inventory replenishment.
DRAM Sufficiency: capacity migration toward HBM and high-value AI memory products continues to constrain conventional DRAM output, limiting supply growth. Despite some quarter-to-quarter fluctuations, the overall supply environment remains tight.
Price Trend: DRAM prices are expected to remain on an upward trajectory throughout 2026. The wide gap between spot and contract price is mainly driven by urgent procurement demand, AI-related supply tightness, and limited spot market inventory, while contract prices are moderated by long-term agreements and quarterly negotiations, resulting in a more gradual increase.

醫療設備正在快速數位化。從實務上來看,醫學影像、病患監測、內視鏡系統、自動調劑櫃,到醫療邊緣閘道器,越來越多設備負責執行檢查或治療流程也同時需要即時記錄影像、感測數據、操作紀錄、警報事件與系統狀態。 對醫療設備製造商來說,儲存裝置已經從容量規格的一部分,升級為影響資料完整性、設備穩定性與產品生命週期的重要元件。

了解 NVMe SSD 的定義、NVMe 與 SATA SSD 的差異,以及為何 NVMe 儲存裝置適合自動化、工業系統和高頻資料記錄

了解 ECC DRAM 的定義、除錯運作原理,以及它對資料完整性、系統穩定性、網路安全與關鍵任務運算的重要性。

解析NVR Storage選購重點,深入比較HDD和SSD、Surveillance SSD與AI NVR儲存需求,打造穩定高效的監控系統

溫度是每顆 SSD 的隱形限制器,而 SSD 溫度範圍既是效能規格也是可靠性規格。在持續負載下,NVMe 韌體會追蹤複合溫度,並會開始輕度或重度節流。因此,寫入吞吐量大幅下降,延遲飆升。高溫也會加速 NAND 內部的電荷洩漏,這會加速資料保留損失。隨著單元因編程/抹除磨損而老化,這種效應會惡化。因此,當硬碟稍後保持未通電狀態時,您會更快消耗耐用度並提高資料保留問題的風險。

SSD 中的垃圾回收是控制器的靜態清理工作。它將仍然有效的頁面壓縮到新空間,並抹除現在大多是垃圾的區塊。這聽起來很奇怪,直到您記起 NAND 快閃記憶體無法覆寫已編程的頁面。它必須先抹除,而抹除是在區塊層級進行,而非每個頁面。因此,更新變成「先寫到別處,之後再清理」。