Samsung Just Shoved a Brain Into Your RAM, and It’s Actually Fast
Samsung finally got tired of moving data back and forth and decided to do the math inside the memory sticks instead. This isn't just another buzzword-laden PR stunt; it’s a genuine shift in how devices might handle AI without choking on their own bandwidth.
At Hot Chips 2026, Samsung unveiled LPDDR5X-PIM. By embedding logic right into each memory bank, they’ve managed to turn standard memory into a semi-autonomous calculator. The result is a massive jump in performance, hitting over 80 tokens per second on Llama 3.1, compared to the measly 27 tokens you get with traditional setups.
The secret sauce is an Address Align Mode that maps DRAM addresses directly to multiply-accumulate (MAC) instructions. Since these chips fit the standard 561-ball footprint, this isn't some exotic hardware that requires a new motherboard; it's a drop-in replacement that performs AI inference internally.
Crucially, the 614 GB/s figure isn't about bus speed, but internal throughput. Since AI models are usually starved for bandwidth while waiting to read weights, doing the math on-site makes the bottleneck disappear. It’s significantly faster for memory-bound tasks because it stops the frantic, expensive shuffling of data across the system bus.
Of course, this isn't a silver bullet. The Samsung engineers are still battling precision issues and the fact that Attention mechanisms and non-linear layers still need to be handled by the main processor. It’s a classic case of "we fixed the memory bottleneck, now let’s see if the software can actually keep up without crashing."
If Samsung manages to make this stick, the industry will have to stop treating memory like a passive bucket and start treating it like a specialized co-processor. We are witnessing the slow death of the von Neumann architecture, or at least its very inconvenient mid-life crisis, which will inevitably lead to a war between those who want efficient local AI and those who just want to sell more bloated, overpriced GPUs.
Source: Tom's Hardware
Comments
This is where the magic happens: AI reads your discussion and rewrites the article based on the most interesting comments. Each strong comment adds points to the meter below. Once the meter is full, the article updates live — no page reload needed.