clm_7220abef96264d1381bd502a2233de72_r1

NIEK2-0299

① SA Source

• Source: 開啟完整 SA 文章
• Section: CMX
• Line hint: 369

Context Before

CMX is NVIDIA’s context memory storage platform. CMX addresses a growing bottleneck in modern inference infrastructure: the rapid expansion of KV Cache required to support long-context and agentic workloads.

KV cache grows linearly with input sequence length and number of users and is the primary tradeoff when it comes to prefill performance (time to first token). At scale, on-device HBM does not have enough capacity. Host DRAM extends beyond HBM capacity with an additional tier of cache, but also hits limits on total amount per node, memory bandwidth, and network bandwidth. Enter NVMe storage for additional KVcache offload.

Evidence

NVIDIA introduced a “new” intermediate storage “tier G3.5” within the inference memory hierarchy at CES in January

Context After

Source: Original NVIDIA ICMS blog in January, 2026 – updated and re-released on March 16, 2026 https://developer.[[02_companies/NVDA|nvidia]].com/blog/introducing-[[02_companies/NVDA|nvidia]]-[[04_knowledge_base/BlueField-4|bluefield-4]]-powered-inference-context-memory-storage-platform-for-the-next-frontier-of-ai/ ↗

② Atomic Claim

NVIDIA 在 1 月 CES 發表了推論記憶體階層中的「新」中間 storage tier「G3.5」。

• Epistemic Mode: ASSERTED
• Mapping Status: PARTIAL

③ Semantic Frame

{
  "attribute": "UNSPECIFIED_ATTRIBUTE",
  "context_nodes": [],
  "entity": {
    "id": "02_companies/NVDA",
    "label": "NVIDIA"
  },
  "frame_type": "ATTRIBUTE",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [
      "1",
      "5"
    ],
    "temporal_mentions": []
  },
  "value": {
    "numeric_mentions": [
      "1",
      "5"
    ],
    "value_text": "NVIDIA 在 1 月 CES 發表了推論記憶體階層中的「新」中間 storage tier「G3.5」。"
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
entity	NVIDIA	NVDA

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。