Samsung Electronics’ second-quarter operating profit reached 89.5 trillion won, beating the 88.13 trillion won analyst estimate tracked by LSEG SmartEstimates, as demand for AI server memory lifted sales of DRAM, NAND and high-bandwidth memory. CNBC reported revenue of 171.5 trillion won, slightly below expectations but still sharply higher year over year.
The result confirms that the AI infrastructure buildout is not limited to accelerator vendors. Samsung’s memory division is benefiting from the server-side need for HBM, high-capacity DRAM and enterprise SSDs—the components that keep GPUs and AI systems fed with data.
Samsung said it has expanded HBM4 sales and sent HBM4E samples to major customers. The company had previously said its 12-layer HBM4E samples use a 48GB stack and target hyperscale AI systems, with mass production tied to customer qualification schedules.
For Windows administrators and enterprise IT buyers, HBM is not a part that will appear in ordinary PCs. Its importance is indirect but substantial: HBM capacity is a constraint on the availability and cost of AI accelerators used in private-cloud clusters, on-premises inference systems and the cloud services behind increasingly AI-heavy business software.
Samsung also expects server DRAM and enterprise SSD demand to grow through the second half of 2026. That is relevant to organizations refreshing Windows Server infrastructure, particularly where virtual machines, analytics platforms or local AI workloads compete for memory and fast storage.
The practical warning is that the AI memory boom can keep pressure on premium DRAM, NAND and packaging capacity even when PC demand is not the immediate driver. Businesses planning server upgrades should treat memory and enterprise SSD procurement as early design decisions rather than late-stage line items.
Samsung’s detailed second-quarter disclosures and customer-production milestones will now matter more than the headline profit beat: the key question is how quickly HBM4E samples turn into qualified, volume shipments for the next generation of AI hardware.
The result confirms that the AI infrastructure buildout is not limited to accelerator vendors. Samsung’s memory division is benefiting from the server-side need for HBM, high-capacity DRAM and enterprise SSDs—the components that keep GPUs and AI systems fed with data.
HBM4E Moves From Roadmap to Customer Samples
Samsung said it has expanded HBM4 sales and sent HBM4E samples to major customers. The company had previously said its 12-layer HBM4E samples use a 48GB stack and target hyperscale AI systems, with mass production tied to customer qualification schedules.For Windows administrators and enterprise IT buyers, HBM is not a part that will appear in ordinary PCs. Its importance is indirect but substantial: HBM capacity is a constraint on the availability and cost of AI accelerators used in private-cloud clusters, on-premises inference systems and the cloud services behind increasingly AI-heavy business software.
Samsung also expects server DRAM and enterprise SSD demand to grow through the second half of 2026. That is relevant to organizations refreshing Windows Server infrastructure, particularly where virtual machines, analytics platforms or local AI workloads compete for memory and fast storage.
A Broader Supply-Chain Signal
Samsung’s result follows its expanded Broadcom collaboration, announced July 25, covering HBM supply for next-generation AI accelerators as well as foundry and advanced-packaging work. Samsung and Broadcom described the arrangement as support for higher-performance, more power-efficient AI and networking silicon.The practical warning is that the AI memory boom can keep pressure on premium DRAM, NAND and packaging capacity even when PC demand is not the immediate driver. Businesses planning server upgrades should treat memory and enterprise SSD procurement as early design decisions rather than late-stage line items.
Samsung’s detailed second-quarter disclosures and customer-production milestones will now matter more than the headline profit beat: the key question is how quickly HBM4E samples turn into qualified, volume shipments for the next generation of AI hardware.
References
- Primary source: CNBC
Published: 2026-07-29T23:55:44+00:00
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