VR2-0228
① SA Source
- Source: 開啟完整 SA 文章
- Section:
BlueField-4 - Line hint:
323
Context Before
The BlueField-4 DPU sits in center of the front of the chassis between the left-side Orchid module and the management module. As mentioned in the sections above, BlueField-4 is made up of a Grace CPU and a CX-9 NIC. The module also comes with 128GByte of on board LPDDR5x, 512Gbyte of on board pluggable SSD and an integrated AST2600 BMC from Aspeed. In the reference design of the VR NVL72 compute tray, BlueField-4 acts as a DPU providing up to 800Gb/s of front end networking capability. However, just like BlueField-3, BlueField-4 will only be adopted by a handful of customers, namely CoreWeave and other smaller Neoclouds customers who have less customization capability. For most hyperscalers’ deployments, the BlueField-4 module will be replaced with their in-house frontend networking module or simply with a CX-9 which is cheaper.
Speaking of BlueField-4, it is important to discuss the new offering Jensen highlighted at CES earlier this year: ICMS, or Inference Context Memory Storage — a platform that we hear may be rebranded to “CMX” at GTC. ICMS, or CMX, introduces a third, entirely separate network dedicated solely to context memory. CMX is a purpose-built KV cache fabric. As long-context inference pushes context windows toward millions of tokens and agentic concurrency scales across users and services, the current memory hierarchy used to store KVcache begins to look insufficient.
Evidence
remains node-bound
Context After
As we noted in mid-January in our Memory Model note ↗, Nvidia’s ICMS inserts a new G3.5 tier between local SSD (G3) and shared storage (G4), optimized specifically for ephemeral, recomputable KV cache. The ICMS requires a dedicated networking layer designed exclusively for KV traffic. Wherever networking is used in this architecture, it is provisioned as a context memory network — isolated from general data movement and optimized for predictable decode latency.
The challenge with this is that the volumes of SSDs going to ICMS / CMX are quite overblown by the industry. We worked through the math in the Memory model ↗ and Tokenomics model ↗.
② Atomic Claim
Host DRAM 仍受限於單一 node。
- Epistemic Mode:
ASSERTED - Mapping Status:
PARTIAL
③ Semantic Frame
{
"attribute": "UNSPECIFIED_ATTRIBUTE",
"context_nodes": [],
"entity": {
"id": "04_knowledge_base/DRAM",
"label": "DRAM"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [],
"temporal_mentions": []
},
"value": {
"numeric_mentions": [],
"value_text": "Host DRAM 仍受限於單一 node。"
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| entity | DRAM | DRAM |
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。