SRAM

3 statements across 3 episodes · 1 bullish · 0 bearish · 3 people on the record · first statement Aug 3, 2023 by Tri Dao · across every show →

Everything said about SRAM, oldest first

Aug 3, 2023 neutral
Prediction Not checkable as stated
SRAM capacity will stagnate, making memory-aware algorithms vital
“And so, yeah, I think in the future SRAM probably won't get that much larger because you don't have that much area. HRAM will get larger and faster, and so I think it becomes more important to design algorithms that take advantage of this memory asymmetry.”
Tri Dao Aug 3, 2023 ▶ 16:07 FlashAttention-2: Making Transformers 800% faster AND exact
Dec 7, 2024 bullish
Assertion Supported
Cerebras WSE-3 per-core SRAM eliminates central memory bandwidth bottlenecks
“So what Cerebrus has done for the wafer scale engine three is that instead of storing all these weights and values, weights and values off chip, Cerebrus stores everything on chip in SRAM. So every single one of the cores on the wafer scale engine three has it…”
Sarah Chieng Dec 7, 2024 ▶ 9:51 [Paper Club] Weight Streaming on Wafer-Scale Clusters (w/ Sarah Chieng of Cerebras)
Feb 12, 2026 neutral
Insight
Dean: Accelerator batching is driven by 1000x SRAM data movement energy costs
“And so, all of a sudden, this is why your accelerators require batching, because if you move, like, say, the parameter of a model from SRAM on the chip into the multiplier unit, that's gonna cost you a thousand PicoTools, so you better make use of that, that t…”
Jeff Dean Feb 12, 2026 ▶ 33:11 The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean
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