Samsung explained: the AI business connecting chips, phones and cooling

Samsung Electronics reaches AI from both ends: it supplies components for the computers running models and sells devices through which people use the results. Its business also extends to the cooling equipment around data-centre servers. Understanding these connections explains why a company familiar from phones and televisions has become such an important participant in AI infrastructure.[1][8]

Two names help decode its announcements. Device Solutions, or DS, contains memory, System LSI chip design and foundry manufacturing. Device eXperience, or DX, covers finished products including phones, televisions and appliances. Samsung Display and Harman add display panels, automotive electronics and audio products to the consolidated business.[1]

Memory and manufacturing meet inside the same component

High-bandwidth memory, or HBM, stacks memory chips beside an AI processor so information can move quickly between them. Samsung’s HBM4 illustrates how several of its capabilities meet. The company combines its DRAM memory process with a logic base die made using its own foundry’s 4-nanometre process. That base die helps connect the stacked memory to the wider system. Samsung announced commercial HBM4 shipments on 12 February 2026.[2]

The announcement specified up to 3.3 terabytes per second of bandwidth per stack, with 12-layer capacities of 24–36 gigabytes. Capacity is how much information fits; bandwidth is how quickly it moves. These are component specifications. An application’s speed also depends on the processor, software and the work being performed.[2]

The surrounding package matters too. Samsung’s horizontal integration technology places logic chips and HBM on a shared connecting structure called an interposer. Vertical integration stacks components to shorten their electrical connections. The current catalogue distinguishes production-ready micro-bump technology from finer, bumpless copper bonding still under development. Packaging is an engineering part of the computing system, with choices about connections, heat and the arrangement of separately manufactured chips.[3]

Samsung also sells a coordinated manufacturing service covering fabrication, assembly and testing. Its package-design work includes electrical, thermal and mechanical analysis. For a hypothetical company designing an AI accelerator, this could mean arranging the memory connections and cooling constraints while the chip is still being designed. The useful commercial proposition is coordination across stages that otherwise have to be brought together by the customer.[4]

The phone business combines Samsung technology with partners

Samsung designs processors as well as manufacturing them. Exynos 2600 combines general computing, graphics and a neural processing unit for AI. Its current product documentation also lists ExecuTorch support, allowing developers to run PyTorch-based models on Exynos devices. That software connection is useful: a chip’s computing capability becomes a consumer feature only after a model and application can use it.[5]

Owning a chip-design business does not mean every Galaxy phone uses its processors. Samsung’s Galaxy S26 announcement lists Qualcomm’s Snapdragon platform in the Ultra, while the S26 and S26+ processor varies by device and market. The same launch describes a choice of Bixby, Gemini and Perplexity. Galaxy AI is therefore an integrated product experience involving Samsung and outside technology, with feature availability varying by region, language, device and software version.[6]

Samsung conducts its own model research as well. Its research programme covers multimodal foundation models, device deployment and agents that break instructions into actions. It also studies physical AI for devices operating in three-dimensional environments. Those strands explain its dual role: developing underlying intelligence while integrating technologies into products. The research programme describes work and ambitions; it does not establish that every proposed capability is already available on a phone.[7]

An appliance division can also serve an AI data centre

Samsung completed its acquisition of heating, ventilation and air-conditioning specialist FläktGroup on 6 November 2025. It placed this growth business within DX, the division also associated with consumer products. FläktGroup supplies precision cooling for data centres alongside broader commercial and industrial systems. This is a useful reminder that Samsung’s participation in AI infrastructure extends beyond the semiconductor division.[8]

The work involves physical manufacturing. In August 2026, Samsung announced that a new FläktGroup facility in Pune, India, had become operational. Its portfolio includes air-handling units, fan-wall units and computer-room air handlers. These perform different jobs in moving air, managing heat and maintaining conditions around IT equipment. The stated target of up to 6,500 HVAC units annually is a capacity target, rather than a count of units already delivered.[9]

The broader Samsung name also requires care. A September announcement committed six Samsung companies to a combined US$1 billion investment in Helix Digital Infrastructure. Samsung Electronics’ announced share was US$500 million; five other affiliates accounted for the remainder. The announcement separately identifies Samsung C&T’s construction role, Samsung SDS’s data-centre services and Samsung SDI’s batteries. These are related companies with distinct contributions, rather than additional divisions to fold into Samsung Electronics’ sales.[10]

An AI boom can reward one business and squeeze another

The second-quarter results show why the distinctions matter. Samsung attributed strong memory earnings to AI-related server demand and rising prices. At the same time, its Mobile eXperience and Networks grouping reported an operating loss despite higher year-on-year revenue, with elevated component costs weighing on earnings. Selling a scarce component and buying components for a finished device create different economic exposures inside the same company.[11]

The newer 8 October guidance estimated third-quarter company sales of KRW 195 trillion and operating profit of KRW 107.4 trillion. These were preliminary consolidated estimates, supplied as the midpoints of stated ranges, without the detailed business results. They should not be treated as an AI revenue total or as proof that each business improved equally.[12]

There is another accounting connection: Samsung’s half-year report subtracts overlapping internal transactions when arriving at consolidated sales. Adding every division’s headline revenue would count some business more than once. Following the buyer and the product is a better way to understand which economic activity a number describes.[1]

Samsung’s breadth creates several ways to participate in the same AI project: supplying memory, manufacturing and connecting chips, or cooling the building that houses them. Its phones then provide a familiar point of access to AI services. Each role solves a different problem. Their value depends on how well they serve each customer’s needs.[4][9][6]

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