Micron has launched its 3610 Gen5 QLC client SSD line. The drive combines PCIe Gen5 throughput, up to 4TB capacity, and stronger performance per watt for thinner AI-ready systems.
Rambus has launched new HBM4E controller IP for accelerator designs. The block targets AI and HPC devices that need much higher memory bandwidth, with early-access licensing now open.
Europe’s ferroelectric memory push has reached an important manufacturing test. CEA-Leti and Fraunhofer IPMS have completed the first wafer exchange inside the FAMES pilot line for HZO-based memory stacks.
Samsung and AMD tighten HBM4 planning around rack-scale AI systems. Their expanded agreement links next-generation high-bandwidth memory supply to future Instinct accelerators, where bandwidth, packaging, power, and platform integration are now moving together.
Mythic is hardening analog AI around foundry-ready embedded memory technology. Its next APU generation will use SST’s memBrain and SuperFlash to push compute-in-memory efficiency further into deployable silicon.
Everspin Technologies has completed production qualification of its 64Mb high-reliability xSPI MRAM, extending the use of persistent memory in industrial, medical, aerospace, and other applications requiring robust operation under extreme conditions.
Intelligent Memory is reviving low-density eMMC for long-life industrial designs. The company has launched 8GB and 16GB industrial eMMC in a 153-ball BGA package, aiming to keep embedded platforms supplied as mainstream vendors reduce legacy capacity options.
Innodisk has introduced a CXL add-in card for edge servers. The PCIe Gen 5 x8 card supports CXL 2.0 Type 3 and scales DDR5 capacity to 256 GB without using DIMM slots.
AI data centres are turning NAND into a scarce resource. Phison is warning of a 2026 squeeze as enterprise SSD demand accelerates for inference, vector search, and cold-tier storage. With suppliers prioritising margin and process transitions limiting bit growth, embedded buyers may find eMMC and UFS harder to source.
Samsung has begun shipping HBM4 memory for AI accelerators commercially. The company says production uses a 10 nm-class DRAM process with a 4 nm logic base die, delivering 11.7 Gbps per pin, up to 3.3 TB/s per stack, and 24–36 GB capacities.