
Hot Chips 2026: Samsung’s Processing-in-Memory (PIM)
In-memory compute with LPDDR5X
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In-memory compute with LPDDR5X

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Building on a long history of HPC-focused cores, and looking beyond HPC

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All about making things affordable

CUDA is the most important software framework in the GPU compute world, and Nvidia is looking at supporting CUDA on RISC-V. Terms and conditions may apply.

Machine learning workloads have an insatiable appetite for DRAM capacity. Flash memory is cheaper per gigabyte of capacity than DRAM. Could it offer a way out?

Machine learning applications demand ever more memory capacity and bandwidth. Samsung responded by fabricating their HBM base dies on a logic node, which opens up more opportunities

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Arm’s 5-series cores are meant for tasks where performance barely matters, but power and area efficiency are top priorities.

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Editor’s Note (7/25/2026): The article has been edited with more information about the L2 behavior along with the bandwidth of the die to die interface.

Hello you fine Internet folks, this article is a sequel to the Scrying the AMD GFX1250 LLVM Tea Leaves article where we are going to look at the differences between GFX1250 and GFX1251.

In just a few short days, AMD will be showing off their brand new MI400 series of Datacenter Accelerators at their Advancing AI event but before that event comes, we thought it would be fun to attempt to scry the tea leaves that are LLVM commits to see what we can ascertain about this next generation of AMD accelerator.

CPU designs must evolve to keep up with changing workloads.
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