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At Hot Chips 2026 Samsung detailed a validated LPDDR5X-PIM part claiming 614 GB/s of internal bandwidth and 2.28x to 3.01x inference gains over plain LPDDR5X.
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The interesting engineering is not the multiply-accumulate logic, which Samsung has been demonstrating since 2021 and shipped through HBM stacks in AMD accelerators [2]. It is that this time the logic did not cost any banks. In HBM-PIM, Samsung had to remove memory banks to make room for the compute; in LPDDR5X-PIM every bank gets its own PIM unit [8]. A DRAM vendor that can add arithmetic without giving up capacity has a much easier conversation with a phone or automotive customer than one asking for a capacity trade.
The 8x bandwidth figure is an internal number and should be read as such. LPDDR5X-9600 peaks at 76.8 GB/s at the package pins, and Samsung's 614 GB/s is what the MAC trees see because the operands never leave the die [6]. Divide it out and the multiplier is 7.99x [7], which is roughly what you would expect from sixteen banks working in parallel on data that used to be serialised through a 128-bit bus. The end-to-end result is far smaller: 2.28x on model run time, 3.01x on tokens per second [4][5]. That gap between 8x internal bandwidth and 2.28x wall-clock is the whole story of PIM. Only the parts of inference that reduce to MACs against resident weights get accelerated, and everything else still runs at LPDDR5X speed.
The compatibility work is where this gets plausible as a product rather than a paper. The package keeps the standard 561-ball array, two 64-bit ranks, 16 GB modules, four dies per rank [9][10]. Conventional DRAM controllers still work, with the part switching between single-bank standard mode and multi-bank PIM mode on the command stream [11]. Samsung's stated obstacle was command reordering in conventional DRAM, and its answer, Address Align Mode, derives the register file addresses from the row and column address instead of an instruction register file [12]. In other words, the reorder buffer can shuffle PIM commands and the operands still land in the right registers. That is the difference between needing a bespoke memory controller and needing a driver.
The constraints are visible in Samsung's own walkthrough. A 512-byte FP8 activation is split into sixteen 256-bit packets, one per bank [13]; the 1 kbit vector register file holds at most four results before it must be drained [14]; and getting the answer back means the host flipping to conventional mode and issuing sixteen reads [15]. Small working set, shallow accumulation depth, frequent mode changes. This is a design for batch-one inference on a device where the weights are already sitting in memory, not for anything resembling a training rack.
That is the part worth sitting with, because Samsung led its presentation with the cost argument: memory is the bulk of AI chip cost and rising, and Micron warned at the same event that HBM wafer demand is getting worse [3]. The response on offer is not cheaper HBM. It is arithmetic bolted to the cheapest, lowest-power DRAM in volume production, sold on the premise that a 2.28x speedup in a phone-class part is worth more than a fraction of an HBM stack nobody can buy. Samsung is already pointing at LPDDR6X-PIM and says it hopes for an initial JEDEC specification this year [16], which matters more than the benchmark: a standard would let SoC vendors design against PIM without betting on one supplier.
Ranked by verification strength, evidence, and original report placement.
In Samsung's preliminary benchmarks, LPDDR5X-PIM showed a 2.28x improvement in model run time versus standard LPDDR5X.
Samsung reports LPDDR5X-PIM is 3.01x faster than LPDDR5X in AI inference measured in tokens per second.
With LPDDR5X-9600, peak bandwidth is 76.8 GB/s; with PIM this is increased eightfold to 614 GB/s by reducing data movement and keeping basic logic local.
Samsung introduced the industry's first LPDDR5X-PIM memory, adding in-memory logic to the low-power memory standard, and detailed it at Hot Chips 2026.
Processing-in-Memory is technology Samsung demoed as early as 2021 and piloted through HBM stacks in AMD accelerators; it is a small bit of logic beside DRAM cells allowing basic calculations to happen in memory.
Samsung opened its Hot Chips presentation noting memory makes up the bulk of AI chip costs and its share continues to grow; Micron warned a day earlier at Hot Chips that HBM wafer demand is only getting worse.
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Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Detailed but single-source and vendor-supplied
The technical disclosure is unusually specific - per-bank PIM units, Address Align Mode, register-file sizes, a full MAC dataflow, packaging and die counts - which raises evidence quality above a press release. But every number originates from one Samsung Hot Chips presentation reported by one outlet, the benchmarks are explicitly preliminary, the test accelerator is unidentified, and the PIM run's output differed from baseline. No independent measurement exists in the supplied material.
Validated silicon, no disclosed deployment
Adoption of PIM itself is essentially pre-commercial: a validated part demonstrated at a conference, one internal Llama 3.1 8B benchmark, and a JEDEC LPDDR6X-PIM specification that Samsung only hopes to see this year. The real-world LPDDR5X design-ins cited (Nvidia Vera, Intel Crescent Island) are for conventional LPDDR5X, not PIM, so they raise the addressable path but not PIM adoption.
Headline multipliers outrun the underlying evidence
The framing '3.01x faster' and '8x the bandwidth' is arithmetically consistent with Samsung's own figures, but those figures are preliminary, vendor-run, single-workload, and produced output that did not match the baseline - and the 614 GB/s is internal bandwidth that the article itself concedes is nowhere near HBM. With no shipping product, price or customer, the promotional multipliers sit well ahead of demonstrated, independently verified value.
Vendor cost narrative plus standards positioning
Samsung has direct commercial motive to reposition LPDDR5X as an AI inference memory while HBM supply and cost squeeze the market, and it opened the talk with the cost framing itself; it also wants a JEDEC LPDDR6X-PIM specification, which rewards public momentum-building. The reporting is a conference write-up that reproduces the vendor's framing and figures without adversarial testing, though it does surface the audience question about output accuracy.
Moderate: rich detail, no corroboration
Confidence is limited by having one publisher and one vendor presentation behind every claim, and by a body text that is truncated at the HBM comparison. It is raised by the density and internal consistency of the technical specifics, the explicit labeling of benchmarks as preliminary, and the reporter noting the accuracy discrepancy and the unidentified test accelerator.
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