
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.

完整解析車用 SSD :AEC-Q100 IC 溫度等級(Grade 0~3)、IATF 16949、ISO/SAE 21434 資安與 PLP、pSLC 等子系統規格,並比較 eMMC/UFS/SSD 差異。威剛工業級提供車載、鐵道 NVR 與邊緣運算的寬溫儲存方案與選型支援。

NVMe SSDとは何か、NVMeとSATA SSDとの違い、そしてNVMeストレージが自動化、産業用システム、および高頻度データロギングに最適な理由について解説します。

ECC DRAMとは何か、エラー訂正の仕組み、そしてデータの整合性、システムの安定性、ネットワークセキュリティ、ミッションクリティカルなコンピューティングにおいて重要となる理由について解説します。

NVRストレージを選定する際の主な検討事項:HDD、SSD、監視用SSD、およびAI NVRのストレージ要件を比較し、安定した高性能監視システムを構築しましょう。

温度はすべてのSSDを左右する隠れた制限要因であり、SSDの温度範囲は性能仕様であると同時に信頼性仕様でもあります。持続的な負荷がかかると、NVMeファームウェアは複合温度を監視し、軽度または大幅なサーマルスロットリングを開始します。その結果、書き込みスループットが低下し、遅延は急上昇します。また、熱はNAND内部の電荷漏れを加速させ、保持期間の劣化を早めます。この影響は、プログラム/消去サイクルによってセルの劣化が進むほど悪化します。このため、耐久性の消耗が早まり、後にドライブが無通電状態で放置された際のデータ保持トラブルのリスクも高まります。

SSDにおけるガーベージコレクションとは、コントローラーが静かに行うクリーンアップ作業のことです。まだ有効なページを新しい領域にまとめ、ほとんど不要になったブロックを消去します。奇妙に聞こえるかもしれませんが、NANDフラッシュはプログラム済みページを上書きできないことを思い出せば納得できます。まず消去する必要があり、この消去はページ単位ではなくブロック単位で行われます。そのため、更新処理は「別の場所に書き込んでから、後で消去する」という動作になります。