clm_85338ed1396d4771b4edee0311b9677a_r1

NIEK2-0301

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. Tier G3.5 NVMe sits in between tier G3 DRAM and tier G4 shared storage (also NVMe, or SATA/SAS SSD, or HDD). Previously referred to as ICMS (Inference Context Memory Storage) and now branded as the CMX platform, this is just another re-brand of storage servers attached to compute servers via Bluefield NICs. The only difference from NVMe architectures is the swap from Connect-X NICs to Bluefield NICs.

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

這個平台過去稱為 ICMS（Inference Context Memory Storage），現在則改名為 CMX；本質上就是透過 Bluefield NICs 將 storage servers 連接到 compute servers 的另一種品牌包裝。

• Epistemic Mode: ASSERTED
• Mapping Status: COMPLETE

③ Semantic Frame

{
  "additional_nodes": [],
  "frame_type": "RELATION",
  "object": {
    "id": "04_knowledge_base/BlueField",
    "label": "Bluefield"
  },
  "predicate": "CONNECTS_TO",
  "qualifiers": {
    "condition_text": null,
    "numeric_mentions": [],
    "temporal_mentions": []
  },
  "subject": {
    "id": "04_knowledge_base/Inference Context Memory Storage",
    "label": "Inference Context Memory Storage"
  }
}

④ Canonical Entity Mapping

Role	Surface Label	Canonical Target
subject	Inference Context Memory Storage	04_knowledge_base/Inference Context Memory Storage
object	Bluefield	BlueField

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。