LPDDR6

Headlines · 4

1. Oct 23
   CXMT sees long-term growth in global and China DRAM

   ChangXin Technology said it remains confident in the medium- to long-term outlook for the DRAM industry in China and globally. The company said AI-related data-throughput demand continues to grow rapidly and argued that DRAM's role as strategic infrastructure will become more important, while also citing the significance of expanding China’s domestic DRAM supply.

   IT之家 AI · 🔥 0
2. Oct 21
   Micron Maps a New Decade of DRAM, HBM and NAND

   Micron presented a multi-year memory roadmap spanning 1δ DRAM, DDR6, LPDDR6, vertical HBM, vEIM, 3D DRAM and G11 NAND. The company plans to introduce wafer bonding with 1ε, High-NA EUV in later generations, and more than 400 layers for G11 NAND, whose production ramp is targeted for the second half of 2027. Micron claims DDR6 will deliver more than twice DDR5 bandwidth and LPDDR6 will improve power efficiency by 35%, but the supplied reports contain no independent validation.

   Tom’s Hardware · 🔥 0
3. Oct 20
   Sunrise shows Qiwang S3 inference GPU and 256-card supernode on CCTV Dialogue

   On October 17, Chinese GPU maker Sunrise (曦望) appeared on CCTV Finance's Dialogue programme, where it showed off its new inference-focused GPU, Qiwang S3, along with a 256-card supernode built on it, according to a PingWest report. Co-CEO Wang Zhan said the company went "all-in on inference" at the end of 2024 and is targeting a lower cost per token, arguing that agents' repeated planning, retrieval and tool calls will drive inference demand. Sunrise says the S3 trims training-related modules, is the first domestically produced part to use LPDDR6 instead of HBM, and, by the company's own calculation, delivers roughly 5x the inference performance of the previous S2 at about 90% lower inference cost per token.

   品玩 实时要闻 · 🔥 0
4. Oct 17
   Micron develops Edge Inference Memory for physical AI

   According to The Elec, Micron executive Lee Cheol said at the SEDEX 2026 forum on semiconductors for humanoid robots in Seoul that Micron is working with major customers on memory for physical AI, targeting humanoid robots, autonomous driving and AR/VR devices. The product, Edge Inference Memory (EIM), stacks low-power LPDDR vertically on a logic die to reduce data-transfer latency and raise bandwidth between AI processors and memory; Micron has not disclosed performance targets but is working to integrate EIM into LPDDR6. The company says humanoid robots currently run roughly 1B–2B parameter models that LPDDR can still serve, but expects a move toward HBM as vision-language models grow, while industry estimates put EIM mass production in the second half of 2028 — a timeline Wccftech rates as a roughly 55% plausible rumor.

   cnBeta · 🔥 0

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