
Samsung showed the first LPDDR-based PIM chip for AI.
It aims to cut costs as HBM prices rise.
Working silicon and performance data were presented.
What happened
At Hot Chips 2026, Samsung Electronics presented what it called the industry's first LPDDR-based processing-in-memory (PIM) device for AI inference, along with working silicon and performance data.
Why it matters
PIM, which performs computation inside memory to reduce data movement, could lower AI inference costs as HBM prices climb. This move may make PIM a more practical alternative for AI workloads.
What to watch
Samsung's presentation included working silicon and performance data, indicating progress toward practical deployment, though availability and pricing were not disclosed.
Ask the AI about this article →
Samsung's presentation at Hot Chips 2026 marks a step toward making processing-in-memory practical for AI inference. By embedding computation within memory, PIM can reduce the energy and time spent shifting data between memory and processor—a significant bottleneck in AI workloads. This approach could become more attractive as HBM costs rise, potentially offering a lower-cost alternative for inference tasks. Samsung claims this is the industry's first LPDDR-based PIM device, signaling a new direction in memory design. The inclusion of working silicon and performance data suggests the technology is moving from concept to deployment, though commercial availability remains unclear. If PIM gains traction, it could reshape how AI inference is priced and deployed, especially in cost-sensitive environments.
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