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There is no supported overall winner among Samsung, SK hynix, and Micron for AI accelerators: their published HBM figures differ by generation, configuration, and measurement claim, and the available figures are not a common independent benchmark. Samsung lists HBM4 at up to 3.3 TB/s per stack; Micron reports more than 2.8 TB/s for its 36 GB HBM4 stack; SK hynix has reported HBM4 development and platform milestones but no same-basis bandwidth figure in the cited announcements. For a real accelerator decision, compare the memory generation and stack configuration, then confirm that the specific accelerator or system is qualified for it.
What is the difference between Samsung, SK hynix, and Micron HBM?
The clearest differences in the manufacturers’ published information are the specifications they disclose and the maturity or platform milestones they report. Samsung publishes a 3.3 TB/s HBM4 maximum and lists HBM4E specifications; Micron reports HBM4 in high-volume production with more than 2.8 TB/s per stack; SK hynix reports HBM4 development completion and later platform adoption, but the cited announcements do not give a directly comparable HBM4 stack-bandwidth number.
These are vendor-published claims, not results from a shared test. A higher listed peak does not establish that one supplier’s memory will make every accelerator faster, more efficient, or more suitable. The memory must be considered as part of a particular processor and system design.
| Supplier | HBM4 information in cited materials | Capacity and stack details | Power claim | Reported maturity or use |
|---|---|---|---|---|
| Samsung | Up to 3,300 GB/s per stack; up to 13.0 Gbps; 2,048 I/O | 36 GB, 12-high | Samsung reported 40% improved power efficiency versus HBM3E in its February 12, 2026 announcement. | Samsung said it began mass production and shipped commercial HBM4 products to customers on February 12, 2026. |
| Micron | More than 2.8 TB/s per stack; over 11 Gb/s pin speed | 36 GB, 12-high; 2,048-pin bus | Micron reports more than 20% power-efficiency improvement versus HBM3E. | Micron’s current portfolio page reports HBM4 36 GB 12-high in high-volume production. |
| SK hynix | Over 10 Gbps operating speed; 2,048 I/O terminals. A comparable stack-bandwidth figure is not stated in the cited announcements. | The September 2025 HBM4 announcement does not state capacity or stack height. Separate March 2026 coverage refers to HBM3E 36 GB 12-layer GPU modules. | SK hynix reported more than 40% better power efficiency than the previous generation. | SK hynix announced HBM4 development completion and mass-production readiness in September 2025; its March 2026 coverage described HBM4 adopted in next-generation AI data-center server platforms. |
Values and status statements in this table come from each manufacturer’s cited product page or announcement. They should be read with the stated generation and qualification intact; “up to,” “over,” and “more than” are not interchangeable with guaranteed results for every configuration.
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What do HBM capacity and bandwidth tell you?
Capacity describes how much data a memory stack can hold; bandwidth describes how quickly data can move between memory and the processor. They answer different questions, so a larger capacity does not automatically imply higher bandwidth, and a higher bandwidth does not mean a stack can store more data.
Capacity affects how much data can fit
For an AI accelerator, memory capacity is relevant to the amount of model data and other working data that can be resident in memory. The supplier specifications here include 36 GB HBM4 stacks from Samsung and Micron. Samsung also lists HBM3E at 24 GB or 36 GB, while Micron lists HBM3E at 24 GB in an 8-high configuration and 36 GB in a 12-high configuration.
Those are per-stack product figures, not a statement of total memory in a complete accelerator. A platform may use multiple stacks, but the cited material does not establish a universal stack count or a total capacity for every system. Check the accelerator’s own configuration rather than multiplying a stack figure by an assumed number.
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Bandwidth is the rate at which data can be transferred. Samsung’s published HBM4 maximum is up to 3,300 GB/s per stack, while Micron reports more than 2.8 TB/s per stack. These figures are not proof of application performance, and their wording should be retained: Samsung says “up to,” while Micron says “more than.” The cited SK hynix HBM4 announcements provide pin-speed and I/O figures but no stack-bandwidth value suitable for a direct ranking here.
A peak bandwidth figure alone cannot tell a buyer how quickly a model will train or how many accelerator jobs a system can serve. Real application performance depends on the processor, system configuration, workload, and how effectively the platform uses its memory. The supplier materials provide component specifications and selected integration milestones, not a like-for-like independent AI workload test.
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How do the HBM generations and configurations compare?
Generation matters because the listed values belong to different products. Compare HBM4 with HBM4 when evaluating the same generation; use HBM3E figures to understand an earlier product tier or a reported deployed configuration, not as if they were the same component.
| Supplier and generation | Capacity / stack height | Published speed or bandwidth | What the cited source says about status |
|---|---|---|---|
| Samsung HBM3E | 24 GB or 36 GB; stack height not stated on the cited summary page | Up to 9.2 Gbps per pin; up to 1,180 GB/s per stack | Listed on Samsung Semiconductor’s current portfolio page, accessed in 2026. |
| Samsung HBM4 | 36 GB; 12-high | Up to 13.0 Gbps; up to 3,300 GB/s per stack; 2,048 I/O | Samsung said mass production began and commercial products shipped to customers on February 12, 2026. |
| Samsung HBM4E | Up to 64 GB; 16-high | Up to 16.0 Gbps; up to 4 TB/s | Listed on Samsung Semiconductor’s current portfolio page, accessed in 2026; the cited page does not state a production or customer-deployment milestone. |
| Micron HBM3E | 24 GB, 8-high; or 36 GB, 12-high | A directly comparable bandwidth maximum is not stated in the cited portfolio information. | Micron says its 24 GB 8-high product is shipping with NVIDIA H200 GPUs and its 36 GB 12-high product is production-capable. |
| Micron HBM4 | 36 GB; 12-high | More than 11 Gb/s pin speed; more than 2.8 TB/s per stack; 2,048-pin bus | Micron’s current portfolio page reports high-volume production. |
| SK hynix HBM3E | 36 GB; 12-layer | A directly comparable bandwidth figure is not stated in the cited March 2026 coverage. | SK hynix’s March 2026 newsroom coverage says 12-layer HBM3E is used in global customers’ AI data-center GPU modules. |
| SK hynix HBM4 | Capacity and stack height are not stated in the cited announcements. | Over 10 Gbps; 2,048 I/O terminals; stack bandwidth not stated. | Development completion and mass-production readiness were announced September 12, 2025. March 2026 coverage describes HBM4 adopted in next-generation AI data-center server platforms. |
Samsung HBM4E is a useful reminder that a portfolio page can list a product specification without establishing the same production status as a separate launch announcement. The cited Samsung page gives HBM4E’s figures, but does not establish when or in which accelerator configurations it is available. Do not treat its 4 TB/s listing as a like-for-like result against currently reported HBM4 deployments.
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Which supplier has the highest HBM4 bandwidth?
Among the comparable HBM4 stack-bandwidth figures published in the cited materials, Samsung lists the highest stated maximum: up to 3,300 GB/s. Micron reports more than 2.8 TB/s per stack. The available SK hynix announcements do not state an HBM4 bandwidth figure on the same basis, so they do not support placing all three suppliers in a numeric ranking.
That is a comparison of published component claims, not an independent performance verdict. Samsung’s figure is explicitly an “up to” maximum, and Micron’s is stated as “more than.” The underlying pages do not provide a shared test protocol or establish that the same capacity, platform, thermal conditions, or operating circumstances apply to both numbers. It is more accurate to report each figure with its supplier and qualification than to declare a winner based on the headline number.
Samsung also lists HBM4E at up to 4 TB/s, but that is a different generation and a 16-high configuration. Comparing that figure directly against HBM4 numbers without noting the generation and stack height would obscure the product difference.
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What do the power-efficiency claims mean?
All three manufacturers report efficiency improvements, but the claims use different comparison language and must not be treated as a single head-to-head result.
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- Micron: its HBM4 portfolio page reports more than 20% power-efficiency improvement over HBM3E.
- SK hynix: its September 12, 2025 HBM4 announcement reports more than 40% better power efficiency compared with the previous generation.
The SK hynix baseline is described as the previous generation, while Samsung and Micron explicitly name HBM3E. Even where two companies name HBM3E, their percentages remain company claims rather than results from a common test. The cited materials do not establish identical measurement methods, operating conditions, or system-level power consequences. These numbers can identify each supplier’s stated generational improvement, but not prove that one HBM4 implementation consumes less power than another in a particular accelerator.
How mature is each supplier’s HBM4 offering?
Reported maturity is not identical across the sources, and the dates matter. Samsung’s February 2026 announcement, Micron’s current portfolio page, and SK hynix’s 2025 and 2026 newsroom statements describe different kinds of milestones.
Samsung: commercial shipments reported in February 2026
Samsung announced on February 12, 2026 that it had begun mass production and shipped commercial HBM4 products to customers. It also published the 36 GB, 12-high configuration and its headline bandwidth and efficiency claims. These statements establish what Samsung reported at that date; they do not by themselves establish qualification in every accelerator or current availability to every system maker.
Micron: HBM4 high-volume production reported on its portfolio page
Micron’s current HBM portfolio page, accessed in 2026, lists 36 GB 12-high HBM4 in high-volume production. For HBM3E, Micron says its 24 GB 8-high product is shipping with NVIDIA H200 GPUs and that a 36 GB 12-high version is production-capable. These are Micron’s reported product and deployment claims, not an independent audit of platform supply.
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SK hynix: development completion, readiness, and later platform coverage
On September 12, 2025, SK hynix said it had completed HBM4 development and readied the product for mass production. The company reported 2,048 I/O terminals, operating speed above 10 Gbps, and more than 40% improved power efficiency compared with the previous generation. In March 2026 newsroom coverage, SK hynix said HBM4 had been adopted in next-generation AI data-center server platforms and that 12-layer HBM3E was used in global customers’ AI data-center GPU modules.
SK hynix’s September 2025 announcement said: “The company has far exceeded the JEDEC* standard operating speed(8Gbps) by implementing over 10Gbps(Gigabit per second) operating speed in HBM4.” This is SK hynix’s own characterization of its speed claim. The cited material does not provide a same-basis HBM4 stack-bandwidth number or identify a complete set of platform configurations for comparing it against Samsung and Micron.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should an AI accelerator buyer or system designer compare?
HBM is not ordinary user-installable memory. Micron describes it as vertically stacked DRAM connected through through-silicon vias (TSVs), and the supplier materials discuss it as memory integrated close to processors in AI and high-performance computing systems. That makes the accelerator or complete system—not a standalone memory package—the meaningful level for most purchasing decisions.
- Start with the exact accelerator configuration. Find the system maker’s stated memory capacity and accelerator configuration. A supplier’s per-stack capacity is not necessarily the total memory available in a card or server.
- Match the generation and stack details. Record whether the system uses HBM3E or HBM4 and, where published, the stack capacity and height. Do not compare a 16-high HBM4E listing as if it were the same configuration as a 12-high HBM4 product.
- Separate capacity from bandwidth. Decide whether the relevant constraint is how much data fits or how quickly the platform can transfer it. Neither published number substitutes for the other.
- Check the actual platform qualification. Ask whether the selected memory is qualified for the particular accelerator and system. A supplier milestone, product page, or deployment report does not establish availability across every GPU or server.
- Keep efficiency comparisons on their stated baselines. Preserve the company, the prior-generation reference, and the wording of each efficiency claim. Do not convert the percentages into a cross-vendor ranking.
- Use workload evidence for performance decisions. The cited supplier information does not provide a common independent accelerator benchmark. For a deployment decision, seek measurements for the relevant system and workload rather than inferring application speed from peak stack bandwidth.
For an end user choosing a complete AI system, the practical result is that the published component brand may not be a selectable option at all. The configuration and qualification of the system being sold are more useful than trying to source HBM separately.
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Can these specifications identify one universal winner?
No. The published values help identify differences in stated capacity, speed, bandwidth, and vendor-reported maturity, but they do not establish a universal best supplier. The materials do not offer an independent head-to-head benchmark, a market-share figure, or evidence that each product is qualified for every accelerator.
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A defensible comparison therefore keeps three categories separate: component specifications, company-reported production or deployment status, and verified results for the target platform. On the specifications available here, Samsung states the highest comparable HBM4 stack-bandwidth maximum; Micron reports HBM4 high-volume production and a 36 GB 12-high stack; SK hynix reports HBM4 readiness and platform adoption while omitting a same-basis stack-bandwidth figure. Those distinctions are useful, but they are not a substitute for system-level qualification and workload data.
Frequently Asked Questions
Can I install an HBM stack as a RAM upgrade in a desktop PC?
The cited product materials describe HBM integrated into AI and high-performance computing platforms, not consumer installation procedures or upgrade modules. They do not establish a compatible desktop motherboard, socket, or retail upgrade product.
Does a higher HBM bandwidth figure guarantee faster AI training?
No. A peak memory-transfer specification alone does not measure end-to-end training time. The processor, system design, workload, and how effectively the platform uses memory all affect the result.
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They are different-scale units: 1 TB/s equals 1,000 GB/s in the decimal units used for these product specifications. The unit conversion does not make figures equivalent if their product generation, configuration, or qualification differs.
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