SA260324R-0058

① SA Source

Context Before

We have written about the role of SRAM in the memory hierarchy, but

Evidence

the quick recap is that SRAM is very fast (low latency and high bandwidth) but this comes at the expense of density and therefore cost.

Context After

SRAM machines such as Groq’s LPU therefore enable very fast time to first token and tokens per second per user but at the expense of total throughput, as their limited SRAM capacity quickly gets saturated by weights, with little left over for KVcache that grows as more users are batched. GPUs win for throughput and cost as we have shown.

② Atomic Claim

簡要來說,SRAM 速度非常快,具備低 latency 與高 bandwidth,但代價是較低的 density,因而帶來較高成本。

  • Epistemic Mode: INFERRED
  • Mapping Status: COMPLETE

③ Semantic Frame

{
  "attribute": "SPEED_DENSITY_COST_TRADEOFF",
  "context_nodes": [],
  "entity": {
    "id": "04_knowledge_base/SRAM",
    "label": "SRAM"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [],
    "value_text": "低 latency、高 bandwidth,但 density 較低,因此成本較高"
  }
}

④ Canonical Entity Mapping

RoleSurface LabelCanonical Target
entitySRAMSRAM

⑤ Human Review

請在 Properties 逐項確認:

  • 原文 → Atomic Claim 是否忠實
  • Atomic Claim → Semantic Frame 是否忠實
  • Canonical Entity mapping 是否正確
  • Epistemic mode 是否保留原文語氣
  • 最後選擇 review_action

Review state

Markdown 內文不是正式 approval。只有 Apply bridge 寫入的 Decision Ledger event 才是正式決策。