Nvidia Rumored to Ditch Its First-gen Custom Memory Form Factor for Newer Version — SOCAMM1 for Faster ‘SOCAMM2’ Standard

✍️ Abstract

輝達 SOCAMM 記憶體規格更新

• 輝達傳放棄 SOCAMM1，轉向更快的 SOCAMM2 標準。
• SOCAMM1 據報因技術問題中止，SOCAMM2 樣品已送測主要記憶體供應商。
• SOCAMM 是為 AI 伺服器設計的模組化 LPDDR 記憶體，旨在提供類似 HBM 的高頻寬，但成本更低。
• SOCAMM2 預計將資料速率從 8,533 MT/s 提升至 9,600 MT/s，並可能支援 LPDDR6。
• 此規格變更可能給三星和 SK 海力士追趕 Micron 的機會，Micron 曾是唯一出貨 SOCAMM 產品的供應商。
• 輝達未評論此報告，但 SOCAMM 在 AI 記憶體需求高漲及 HBM 供應受限下，對其產品路線圖至關重要。

☘️ Article

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• (Image credit: Micron)
• Nvidia has reportedly cancelled its first-gen SOCAMM (System-on-Chip Attached Memory Module) rollout and is shifting development focus to a new version known as SOCAMM2. This is according to Korean outlet ETNews citing unnamed industry sources. Based on a machine translation, the outlet claims that SOCAMM1 was halted after technical setbacks and that SOCAMM2 sample testing is now underway with all three major memory vendors.
• The abandonment of SOCAMM1, if accurate, resets what was expected to be a fast-tracked rollout of modular LPDDR-based memory in Nvidia’s data center stack. SOCAMM has been positioned as a new class of high-bandwidth, low-power memory for AI servers, delivering similar benefits to HBM but at a lower cost.
• Nvidia has not commented on the report — and never comments on rumors in any case — and none of the memory vendors have confirmed a change in direction. But with demand for AI memory exploding, and HBM supply becoming more and more constrained, SOCAMM is shaping up to become a major component in Nvidia’s silicon roadmap, making a jump from SOCAMM1 to SOCAMM2 a feasible move.