SA260324R-0026
① SA Source
- Source: 開啟完整 SA 文章
- Section:
LPU chip - Line hint:
33
Context Before
Let’s now go through a refresher on the LPU architecture to see how Groq’s LPU complements Nvidia’s GPU. For more details see our original Groq piece. ↗ The premise from that piece remains unchanged: the standalone Groq LPU system is not economical for serving tokens at scale, but it can serve tokens very quickly which can demand a large market premium. This is the premise behind how LPU fits into a disaggregated decode system.
LPU chip
Evidence
Groq’s first and only publicly announced LPU architecture was detailed in their ISCA 2020 paper. Unlike typical hardware architectures connecting many general-purpose cores, Groq re-organized the architecture into groups of single-purpose units connecting to other groups of different purposes, and they named the groups “slices.” Between functional units are streaming registers, scratchpad SRAM for functional units to pass data to each other. Groq opted for single-level scratchpad SRAM instead of multi-level memory hierarchy to make the hardware execution deterministic.
Context After
Concretely, LPU architecture has VXM slices for vector operations, MEM slices for loading/storing data, SXM slices for tensor shape manipulation, and MXM slices for performing matrix multiplication. Spatially, the slices are laid out horizontally, allowing the data to stream horizontally. Within a slice, instructions are pumped vertically across units. Conceptually, LPU resembles a systolic array that pumps instructions vertically and data horizontally.
② Atomic Claim
- Epistemic Mode:
ASSERTED - Mapping Status:
COMPLETE
③ Semantic Frame
{
"attribute": "PUBLIC_ARCHITECTURE_DISCLOSURE",
"context_nodes": [
{
"id": "02_companies/Groq",
"label": "Groq"
}
],
"entity": {
"id": "04_knowledge_base/Groq LPU",
"label": "LPU"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [
"2020"
],
"temporal_mentions": [
"ISCA 2020"
]
},
"value": {
"numeric_mentions": [
"2020"
],
"value_text": "Groq 第一個且唯一公開宣布的 LPU 架構，詳述於 ISCA 2020 論文"
}
}④ Canonical Entity Mapping
| Role | Surface Label | Canonical Target |
|---|---|---|
| entity | LPU | 04_knowledge_base/Groq LPU |
| context_0 | Groq | Groq |
⑤ V2 Draft（需要修正時直接編輯）
Inline repair
只編輯以下三個 Draft 區塊。完成後將
review_action設為REQUEST_REPAIR，再手動執行 Repair Preview。
執行腳本前，Draft 不會寫入 Claim Store 或 Graph。
V2 Atomic Claim Draft
Groq 第一個、也是唯一公開宣布過的 LPU 架構，詳述於其 ISCA 2020 論文。
V2 Semantic Frame Draft
{
"attribute": "PUBLIC_ARCHITECTURE_DISCLOSURE",
"context_nodes": [
{
"id": "02_companies/Groq",
"label": "Groq"
}
],
"entity": {
"id": "04_knowledge_base/Groq LPU",
"label": "LPU"
},
"frame_type": "ATTRIBUTE",
"qualifiers": {
"condition_text": null,
"numeric_mentions": [
"2020"
],
"temporal_mentions": [
"ISCA 2020"
]
},
"value": {
"numeric_mentions": [
"2020"
],
"value_text": "Groq 第一個且唯一公開宣布的 LPU 架構，詳述於 ISCA 2020 論文"
}
}V2 Revision Metadata Draft
{
"epistemic_mode": "ASSERTED",
"mapping_status": "COMPLETE"
}⑥ 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。