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Broadcom

Magnetic and optical motion encoders

Published by FyncaResearch checked How we research

HUMANOID ROBOT

Where it fits in the robot

Magnetic and optical motion encoders provide position feedback for robotic joints and motors. Broadcom also operates much larger semiconductor and infrastructure software businesses.

What the evidence establishes

Robotics products

Broadcom documents magnetic encoders for robotic joint position feedback. This is a component link, separate from its much larger networking business.

A documented robotics component or industrial robot application. Humanoid adoption is not established by the cited source.

Component roleMagnetic and optical motion encoders
EvidenceBroadcom documents magnetic encoders for robotic joint position feedback. This is a component link, separate from its much larger networking business.
Primary sourceBroadcom — 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 material humanoid revenue or named humanoid supply contract established.

Diversified 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.

Encoder & drive electronics

Position feedback and a motor drive close the control loop so the joint follows commanded motion.

Scope of the company links: Includes position encoders, motor-control chips, drive power devices, and integrated controls. Open a company to see its specific role.

AI SERVER RACK

Where it fits in an AI server rack

Sells custom AI accelerators (XPUs), Ethernet switching and routing silicon, Ethernet NICs, PCIe switches and III-V lasers for fiber-optic communications (FY2025 10-K). With OpenAI it will deploy racks of OpenAI-designed accelerators scaled with Broadcom Ethernet, PCIe and optical connectivity, targeted to start in H2 2026 and complete by end-2029 (10 GW, Oct 13, 2025). AI semiconductor revenue was $16.7B in Q3 FY2026, up 221%, with $21.7B guided for Q4; a long-term custom AI accelerator contract signed in the quarter to May 3, 2026 is in its remaining performance obligations.

What the evidence establishes

AI-rack evidence

Disclosed: Broadcom’s FY2025 10-K lists custom accelerators, Ethernet switching, NICs, PCIe switches and fiber-optic lasers, and its joint release with OpenAI covers 10 GW of custom accelerator racks.

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 roleCustom AI accelerators, Ethernet switch and NIC chips
EvidenceDisclosed: Broadcom’s FY2025 10-K lists custom accelerators, Ethernet switching, NICs, PCIe switches and fiber-optic lasers, and its joint release with OpenAI covers 10 GW of custom accelerator racks.
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 sourceBroadcom — 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

Broadcom’s filings do not name its XPU customers (links to Google’s TPU come from management commentary and press), and AI revenue mixes accelerators with networking. The OpenAI racks were targeted to start in H2 2026; deployment status is not confirmed.

Diversified 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.

GPU compute dies

Two reticle-sized logic dies joined into one GPU, built on a leading-edge foundry process. They run the matrix math of training and inference. Custom accelerators designed by or for cloud companies are the main alternative.

Scope of the company links: The compute dies. NVIDIA designs Blackwell and Blackwell Ultra (208 billion transistors on two reticle-limited dies, custom TSMC 4NP) and AMD designs the Instinct MI350 and MI455X; NVIDIA discloses that TSMC fabricates Blackwell. Custom accelerators are the alternative: Broadcom co-develops OpenAI-designed accelerators and racks (its other XPU customers are unnamed), Marvell develops custom AI silicon for unnamed customers, and the design-service houses Alchip (an N3 accelerator for a North American cloud provider, from May 2026) and GUC (AI accelerator design support) disclose programs without naming customers. Intel’s Gaudi 3 is a merchant AI accelerator with no documented rack-scale deployment. Hyperscaler chip designers (Google TPU, AWS Trainium) are not mapped because they do not sell the chips as components. Samsung is named as an NVIDIA wafer foundry but not for Blackwell GPU dies, so it is not mapped here.

Switch ASICs

Scale-up switch chips that connect every GPU in the rack to every other GPU at full bandwidth. Other designs use Ethernet switch chips for the same job.

Scope of the company links: Scale-up and fabric switch chips. NVIDIA’s NVLink Switch chips sit in the 1RU switch trays of GB200/GB300 NVL72 (NVIDIA OCP contribution, Oct 15, 2024), and its Spectrum-6 Ethernet ASIC runs 102.4 Tb/s. Broadcom sells Ethernet switching silicon to hyperscalers and to makers of AI servers, switches and racks (FY2025 10-K); Cisco’s Silicon One G300 (102.4 Tb/s) powers its own systems; Astera Labs’ Scorpio X-Series is a scale-up fabric switch for up to 80 accelerators; Marvell’s 10-K lists Teralynx Ethernet switches of up to 51.2 Tb/s. Celestica designs AMD Helios’s scale-up switch trays on other companies’ silicon and is listed under the top-of-rack switch, not here.

SuperNICs & network cards

Network cards at 400 to 800 Gb/s, about one per GPU, that carry scale-out traffic over InfiniBand or Ethernet to other racks.

Scope of the company links: GB300 NVL72 gives each GPU 800 Gb/s through ConnectX-8 SuperNICs (NVIDIA product page); ConnectX-9 offers 1.6 Tb/s. Broadcom sells Ethernet NICs into AI data centers (FY2025 10-K), and AMD’s Pensando Pollara AI NICs are the alternative in AMD systems such as Helios. Some hyperscalers use in-house NICs (analyst reports), which are not listed products.

PCIe retimers & switches

Chips that recover and re-send high-speed PCIe or CXL signals over long board traces and cables, or fan one set of lanes out to many devices.

Scope of the company links: Astera Labs sells Aries retimers and Scorpio P-Series PCIe 6 switches, which an NVIDIA executive says integrate with Blackwell-based MGX (Mar 18, 2025). Marvell’s Alaska P PCIe 6 retimers were adopted by Supermicro, TE Connectivity and TeraHop (Dec 9, 2025). Credo’s Toucan Gen6 x16 retimer was PCI-SIG listed on Aug 31, 2026; Broadcom’s PCIe interconnect chips serve AI and non-AI uses (10-K); Microchip’s Switchtec Gen 6 switches are sampling; Montage calls itself one of the two major PCIe 5.0 retimer suppliers and says retimers are core components of AI servers (2025 results). No source says which retimer or switch a given NVL72 tray uses.

Lasers & photonics

Electro-absorption modulated or continuous-wave lasers, and silicon-photonics chips, that turn the signal into light inside the transceiver.

Scope of the company links: InP lasers (EML, CW, VCSEL) and silicon-photonics chips inside modules and co-packaged engines. Lumentum and Coherent make EMLs and CW/high-power lasers and hold NVIDIA purchase commitments for lasers (Mar 2, 2026); Mitsubishi Electric estimates it led data-center EML chips in FY25 and plans over 3x EML capacity by FY30; Sumitomo Electric makes EMLs and CW lasers for AI data centers; Broadcom runs in-house InP/GaAs laser fabs and sells a pluggable laser source for its CPO switches. TSMC provides the silicon photonics in NVIDIA’s CPO switches, Tower runs silicon-photonics foundry platforms for 400G–1.6T modules, TFC makes external-laser-source modules, Furukawa sells CW-DFB chips for silicon photonics, Marvell includes silicon photonics in its interconnect portfolio and MACOM sells lasers and photodetectors. AXT supplies InP substrates upstream. AOI makes laser chips only for its own modules and is mapped under transceivers. TrendForce (reported, context only) puts combined EML and CW-DFB capacity near 50.7 million units a month in 2026.

Related research

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