Next year’s flagship smartphones could be the first to feature LPDDR5 memory with support for data transfer speeds up to 9.6 TB/s, or 9600 MT/s.

Micron and SK Hynix have each announced that their next-gen memory solutions are designed to work in devices powered by Qualcomm’s new Snapdragon 8 Gen 3 processor.

SKY Hynix LPDDR5T-9600 memory

The SKY Hynix solution is billed at LPDDR5T-9600 memory, which stands for “Low Power Double Data Rate 5 Turbo), while Micron’s version is LPDDR5X-9600, even though the LPDDR5X standard technically tops out at 8533 Mbit/s at the moment.

But while the two companies use different names, they’re both promising a 12% increase in speed when compared with LPDRR5X-8533 memory.

SK Hynix says it achieves this by supporting voltage ranges between 1.01V and 1.12V. As Anandtech notes, that top voltage is a little higher than the 1.1V supported by the standard LPDDR5x specification, which might help explain why SK Hynix is using a different name for its memory.

Micron LPDDR5X-9600 memory

Micron doesn’t really explain how it sped up its memory, other than saying that it’s “Built on Micron’s industry-leading 1-beta process node, LPDDR5X offers a nearly 30% power improvement,” but that’s compared against other LPDDR5X chips from other companies, not Micron’s own products.

There’s no word on when the first devices with LPDDR5-9600 memory will arrive, but the fact that both companies specifically point out that their new memory is compatible with Qualcomm’s new chip for flagship smartphones strongly hints that we could see these solutions in some 2024 flagship-class smartphones.

Micron press release

SK Hynix press release

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  1. Hopefully this will result in a faster implementation of USB 4. How long can you wait?

    In mobile business, high memory usage (such as PCIe 4.0 NVMe, UFS 4.0) is the norm. Miracast or AirPlay still has a lot of work to do in order to achieve high resolutions and fast refresh rates... (and I always reminders to unblock ports in company) USB 4 with DP 2.1 could solve many of the current problems. Unfortunately, implementation is very slow.

  2. I’m not kidding. Give me 24 core smart phones with 24GB of DDR6 RAM, and that will be my new computer.

    DDR5 is getting there, but DDR6 will be far more beneficial to A.I. inference given that it has double the bandwidth. I do CPU inference, so I don’t care about GPUs. Just give me more CPU cores and memory bandwidth, and I’m golden.

    1. I’ve heard this nearly a decade ago. It never ends. Standards change and you require more and more performance at each notch.

      There’s a reason power-envelopes and different form-factors exists. Instead of having a Swiss Army Knife, it’s usually better having more than one tool dedicated to different tasks. Just see the next time you call a plumber, if he comes with a bucket of tools, or a multitool.

    2. It’s not like you can use the phone as a PC anyway if the OEM won’t even bother to at least give USB3 with wired video output and Desktop Mode.