# Samsung LPDDR5X-PIM Delivers 3x Faster AI Inference with Embedded Processing

> Samsung used the Hot Chips conference on August 25 to show off LPDDR5X-PIM, a memory chip that stuffs small logic units directly inside the DRAM instead of shuttling every calculation out to a separate processor. In the company's own tests running Meta's Llama 3.1 8B model, the part churned out 81.3 tokens per second against 27 for standard LPDDR5X, roughly a threefold speedup, with about eight times the effective bandwidth. The pitch here is not the data center. Samsung is aiming squarely at phones and other edge devices, where the real constraint is power rather than raw throughput, and where the expensive high-bandwidth memory that feeds server GPUs simply does not fit. By keeping the same 561-ball package as today's LPDDR5X, Samsung is signaling it wants this to drop into existing designs with minimal fuss. Processing-in-memory has been a research curiosity for years, mostly because software rarely knows how to use it. Seeing it demoed on a mainstream open model is a sign the idea is finally creeping toward products you could actually hold.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Tom's Hardware · Published Thursday, August 27, 2026_

## Wortins' read

Samsung used the Hot Chips conference on August 25 to show off LPDDR5X-PIM, a memory chip that stuffs small logic units directly inside the DRAM instead of shuttling every calculation out to a separate processor. In the company's own tests running Meta's Llama 3.1 8B model, the part churned out 81.3 tokens per second against 27 for standard LPDDR5X, roughly a threefold speedup, with about eight times the effective bandwidth. The pitch here is not the data center. Samsung is aiming squarely at phones and other edge devices, where the real constraint is power rather than raw throughput, and where the expensive high-bandwidth memory that feeds server GPUs simply does not fit. By keeping the same 561-ball package as today's LPDDR5X, Samsung is signaling it wants this to drop into existing designs with minimal fuss. Processing-in-memory has been a research curiosity for years, mostly because software rarely knows how to use it. Seeing it demoed on a mainstream open model is a sign the idea is finally creeping toward products you could actually hold.

## Source

[Read the full story at Tom's Hardware](https://www.tomshardware.com/pc-components/dram/hot-chips-2026-samsung-makes-lpddr5x-smart-with-logic-unit-in-memory-lpddr5x-pim-is-3-01x-faster-than-lpddr5x-in-ai-inference-with-8x-the-bandwidth)

## Related coverage

- [Fundraisly](https://www.wortins.com/story/fundraisly-75fbe87d) — [Futurepedia](https://futurepedia.io/)
- [SoftBank Plans Record $6.3 Billion Retail Bond Sale to Fund OpenAI Investment](https://www.wortins.com/story/softbank-plans-record-6-3-billion-retail-bond-sale-to-fund-o-dbc93b82) — [Bloomberg](https://www.bloomberg.com/news/videos/2026-08-20/bloomberg-tech-8-20-2026-video)
- [Checking In on AI and the Big Five](https://www.wortins.com/story/checking-in-on-ai-and-the-big-five-8f54332c) — [Stratechery](https://stratechery.com/2025/checking-in-on-ai-and-the-big-five/)
- [Google DeepMind Releases Gemini Robotics 2 With Whole-Body Control](https://www.wortins.com/story/google-deepmind-releases-gemini-robotics-2-with-whole-body-c-578b43eb) — [Google DeepMind](https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/)
- [Anthropic Signs $45 Billion Compute Deal with British Infrastructure Firm Nscale](https://www.wortins.com/story/anthropic-signs-45-billion-compute-deal-with-british-infrast-9d89144c) — [TechCrunch](https://techcrunch.com/2026/08/26/anthropic-continues-compute-gobbling-streak-in-45-billion-deal-with-nscale/)
- [Transfyr Raises $25 Million Seed for Physical AI Platform](https://www.wortins.com/story/transfyr-raises-25-million-seed-for-physical-ai-platform-163dfbba) — [TechStartups](https://techstartups.com/2026/08/26/startup-funding-news-today-august-26-2026-emerald-ai-gatik-stellaria-more/)

---

_Curated and written by [Wortins](https://www.wortins.com) — The daily AI briefing. Every story links to its original source; the "Wortins read" on each is our own original analysis. [About Wortins & our editorial approach](https://www.wortins.com/about)._