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Micron Technology

Low-power memory & storage for robotics

Published by FyncaResearch checked How we research

HUMANOID ROBOT

Where it fits in the robot

Micron explicitly addresses robot memory and storage requirements, including real-time perception and sustained edge inference.

What the evidence establishes

Humanoid evidence

Micron explicitly discusses humanoid memory requirements and provides DRAM/storage technology. Robotics revenue is not separately quantified.

An explicit humanoid product, development program, application, or partnership. This does not establish revenue, market share, or production volumes.

Component roleLow-power memory & storage for robotics
EvidenceMicron explicitly discusses humanoid memory requirements and provides DRAM/storage technology. Robotics revenue is not separately quantified.
Primary sourceMicron Technology — supporting disclosure
Company or official disclosure; vendor claims are attributed to their source.
Checked. This is the research review date, not the source publication or quote time.

Keep in perspective

Memory is an upstream enabling component. Demand also depends on much larger data-center, mobile, and PC markets.

Specialist business exposure. This describes the breadth or role of the business; it is not an investment rating. A robotics product or development announcement does not by itself establish material humanoid revenue, market share, or future returns.

Connections to the assembly

These links explain the technology relationship. The model is illustrative and does not represent an actual manufacturer’s bill of materials.

Working memory & storage

Memory holds the working data used by perception and control; nonvolatile storage retains software and models. Capacity, bandwidth, and power consumption affect performance.

Scope of the company links: Memory manufacturers only. Micron explicitly discusses humanoids; Samsung and SK hynix are adjacent low-power memory exposure.

SMART GLASSES

Where it fits in smart glasses

Markets ultrasmall, low-power memory and storage for AR glasses and VR headsets (Micron consumer AR/VR page). A 2023 Micron blog positions a 16Gb LPDDR4 + 32GB eMMC ePoP for the glasses form factor. No named glasses customer.

What the evidence establishes

XR products

XR products: Micron’s consumer page markets ultrasmall, low-power memory and storage for AR glasses and VR headsets.

A documented AR/VR/MR headset, near-eye display or AR-optics product. Smart-glasses adoption is not established by the cited source.

Component roleLow-power memory for AR glasses
EvidenceXR products: Micron’s consumer page markets ultrasmall, low-power memory and storage for AR glasses and VR headsets.
How we knowPositioning A dedicated smart-glasses product, reference design or application page, with no named customer. Marketed for smart glasses; not a disclosed design win.
Primary sourceMicron Technology — supporting disclosure
Company or official disclosure; vendor claims are attributed to their source.
Checked. This is the research review date, not the source publication or quote time.

Keep in perspective

No named glasses customer; the glasses-specific memory blog dates from Aug 2023. Memory demand is driven by much larger markets.

Specialist business exposure. This describes the breadth or role of the business; it is not an investment rating. A smart-glasses product, design-in or partnership does not by itself establish material glasses revenue, market share, or future returns.

Connections to the assembly

These links explain the technology relationship. The model is illustrative and does not represent an actual manufacturer’s bill of materials.

LPDDR memory & flash

Working memory, stacked on the SoC here, plus flash for photos, video and software. Meta Ray-Ban Display pairs 2 GB of LPDDR4X with 32 GB of flash.

Scope of the company links: BIWIN’s 2025 annual report and 2026 interim report say Meta and others use its ePOP in AI/AR glasses and smartwatches (supplier filing; Meta has not confirmed). Micron markets memory for AR glasses with no named customer. AR1 Gen 1 supports LPDDR4x (Qualcomm brief). The memory vendors in teardown Meta glasses are unidentified, so SK hynix, Samsung and Kioxia are not mapped.

AI SERVER RACK

Where it fits in an AI server rack

HBM3E 12H 36GB is designed into NVIDIA GB300 NVL72 and HGX B300 NVL16, and HBM3E 8H 24GB is available for GB200 NVL72; its LPDDR5X SOCAMM was developed with NVIDIA for the GB300 Grace Blackwell Ultra Superchip, and its 9550 and 7450 SSDs are on the GB200 NVL72 recommended vendor list (Mar 18, 2025). HBM3E 12H is in the AMD Instinct MI350 Series (288 GB per GPU, June 12, 2025). HBM4 was in high-volume shipments for its lead customer’s platform in FQ3 2026 (quarter to May 28, 2026).

What the evidence establishes

AI-rack evidence

Disclosed: Micron’s GTC 2025 release names GB300 NVL72 and GB200 NVL72 for its HBM3E, SOCAMM and SSDs, and its June 2025 release names the AMD MI350 Series.

An explicit AI-server or AI-rack product, design-in, supply role, program, reference design or partnership, such as a part named for rack-scale AI systems or a product sold for AI data centers. For a rack builder, it means the company’s own AI servers or racks. This does not establish revenue, market share, volumes or future sourcing.

Component roleHBM3E and HBM4, SOCAMM and data-center SSDs
EvidenceDisclosed: Micron’s GTC 2025 release names GB300 NVL72 and GB200 NVL72 for its HBM3E, SOCAMM and SSDs, and its June 2025 release names the AMD MI350 Series.
How we knowDisclosed The company’s own filing, release, annual report, product page or investor record describes the AI-server or AI-rack role. Where customers are unnamed, the listing says so.
Primary sourceMicron Technology — supporting disclosure
Company or official disclosure; vendor claims are attributed to their source.
Checked. This is the research review date, not the source publication or quote time.

Keep in perspective

Micron does not disclose HBM revenue by customer, and the NVIDIA designations date from March 2025. Its FQ4 2026 results are due Sept 30, 2026, after this review.

Specialist business exposure. This describes the breadth or role of the business; it is not an investment rating. An AI-server product, design-in or partnership does not by itself establish material AI-rack revenue, market share, or future returns.

Connections to the assembly

These links explain the technology relationship. The model is illustrative and does not represent an actual manufacturer’s bill of materials.

HBM stacks

Towers of 8 to 12 DRAM dies joined by through-silicon vias and placed beside the logic dies. Eight stacks give one GPU hundreds of gigabytes and several terabytes per second of memory bandwidth.

Scope of the company links: Three companies make HBM, and NVIDIA’s FY2026 10-K names all three (SK Hynix, Micron, Samsung) as memory suppliers. Micron is mapped first because its release names GB300 NVL72 and GB200 NVL72 (and the AMD MI350 Series) for its HBM3E. SK hynix reports HBM4 mass shipments from Q2 2026 and a 56.4% HBM revenue share in Q1 2026 (its prospectus), without naming customers. Samsung says its HBM4 is designed for NVIDIA Vera Rubin and in mass production; its HBM3E qualification for NVIDIA (Sept 2025) is reported only. No source gives a supplier’s share of a specific GPU.

CPU memory

Low-power LPDDR5X packages or modules beside an Arm CPU, or DDR5 memory modules with interface chips in x86 trays. The GPUs can reach this memory through the CPU.

Scope of the company links: Grace-class CPUs use LPDDR5X (up to 17 TB per GB200 NVL72, NVIDIA). Micron says its SOCAMM LPDDR5X module was developed with NVIDIA for GB300 and was in volume production (Mar 18, 2025); SK hynix reports significantly growing SOCAMM2 sales for AI servers (Q2 2026), and Samsung markets SOCAMM2 with no named platform. x86 trays use DDR5 RDIMMs or MRDIMMs whose interface chips come from Montage (RCD, MRCD/MDB) and Rambus (RCD, PMIC, SPD hub; a SOCAMM2 chipset from Apr 22, 2026); Renesas is sampling a third-generation MRDIMM chipset, with production expected in 2H 2027.

E1.S NVMe SSDs

Flash drives in the slim EDSFF E1.S form factor: NAND flash, a controller and DRAM that hold the operating system, checkpoints and cached data. Reference trays carry four; some vendors fit up to eight in internal bays.

Scope of the company links: E1.S NVMe drives sit in each compute tray (NVIDIA lists four per GB200 tray). The rack-specific qualifications found are Sandisk’s DC SN861 E1.S (certified for GB200 NVL72 as Western Digital, Oct 14, 2024) and Micron’s 9550 and 7450 (on NVIDIA’s GB200 NVL72 recommended vendor list, per Micron). Kioxia (NX1 E1.S for GPU servers) and Samsung (PM1763 for AI infrastructure) position drives for AI servers, SK hynix reports expanding eSSD sales for AI servers, and its subsidiary Solidigm, which is not separately listed, shows a cold-plate-cooled SSD. Silicon Motion, Phison and Marvell sell SSD controllers with no named rack program. A vendor list shows eligibility, not volumes.

Related research

Companies with overlapping sector exposure. Their products and evidence may differ; this is not a list of equivalent investments.

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