| # ARCHON Inference Turbo + OVERTAKE — Status 2026-06-05 |
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| ## Coverage TOTAL: 20/20 modules codés (M1-M20) — Phase A→G |
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| ## Phase A (drop-in) — 4/4 LIVE V100 |
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| | Module | Validation | Métrique mesurée | |
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| | M6 SnapKV/MiniKV | LIVE V100 ✅ | err 0.22, **compression 12.8×** | |
| | M7 DoLa | LIVE V100 ✅ ARCHON 282M | overhead **+12.8%**, top-5 sane | |
| | M9 XGrammar | LIVE V100 ✅ tokenizer v3 | grammar **15.6 ms compile** | |
| | M11 ReAct + 64 tools | LIVE V100 ✅ | 64 tools registered | |
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| ## Phase B — code complet, LIVE bench partiel |
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| | Module | LIVE bench | |
| |---|---| |
| | M1 MTP self-spec | ⚠️ 0.46× pretrain (attend SFT v2 alignment) | |
| | M10 quant | ✅ INT8 4× mémoire, V100 préfère FP16 | |
| | M5 PRM | ✅ skeleton TinyPRM 32M params | |
| | M8 GraphRAG/HippoRAG2 | ✅ skeleton ChromaDB ready | |
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| ## Phase C — skeletons + SFT recipes |
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| | Module | Path | |
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| | M2 Extended thinking | ✅ SFT recipe DeepSeek R1 traces $15 | |
| | M3 COCONUT | ✅ Curriculum 5 stages $15 | |
| | M12 TTT-E2E LoRA | ✅ Inject LoRA rank=4, kill-switch | |
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| ## Phase D — skeleton + brevet potentiel |
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| | Module | Plan | |
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| | M4 Mixture of Recursions | ✅ Router head + retrain $50 | |
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| ## Phase E ARCHON-OVERTAKE — Catching champion (4 nouveaux modules) |
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| | Module | Smoke V100 | Cible mesurable | |
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| | M13 Learned KV Placement | ✅ 0.27M params | +30% cache hit ratio vs llm-d | |
| | M15 RL Scheduling Head | ✅ 4.28M params | goodput ≥85% vs Singularity 78% | |
| | M16 Predictive Throttle | ✅ 0.20M params | -30% energy/token, 0 SLO break | |
| | M18 NL Decision Audit | ✅ template+LLM | 100% décisions debuggables | |
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| ## Phase F ARCHON-OVERTAKE — Surpassing champion (4 nouveaux modules) |
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| | Module | Smoke V100 | Cible mesurable | |
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| | M14 Cross-Vendor Mesh | ✅ 7 vendors registered | single device sur NVIDIA+AMD+Intel+Cerebras | |
| | M17 Family Self-Heal | ✅ <5ms decide (target <5s) | <5 sec self-heal vs Singularity manual | |
| | M19 Hot-Swap LoRA | ✅ 5 workload types classified | swap <100ms par workload | |
| | M20 Multi-Tenancy Fairness | ✅ Jain 0.937 demo | Jain index ≥0.95 vs Singularity 0.87 | |
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| ## Phase G — Première mondiale (paper + brevet + open-source) |
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| - Paper arxiv "ARCHON: An ASI-Driven GPU Mesh Driver" |
| - Brevet patent-scout : combo M13+M14+M15+M16+M17+M18+M19+M20 |
| - Open-source : `aether_mesh` v1.0 + ARCHON ckpt |
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| ## Champion à dépasser (composite) |
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| - **Microsoft Singularity** (production ref planet-scale 100K+ GPU) |
| - **Decima** (MIT — pure RL+GNN ref académique) |
| - **llm-d v0.7.1** (avril 2026 — LLM-augmented cache-aware ref open-source) |
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| ## Métriques finales cibles dépassement |
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| | KPI | Singularity ref | ARCHON cible | Delta | |
| |---|---|---|---| |
| | GPU utilization | 85% | ≥92% | +7pt | |
| | Goodput | 78% | ≥85% | +7pt | |
| | Median TTFT | 150ms | ≤80ms | -47% | |
| | SLO compliance premium | 99.5% | ≥99.9% | +0.4pt | |
| | Preemption recovery | seconds | sub-second | 10× | |
| | Cross-vendor mesh | NVIDIA only | NVIDIA+AMD+Intel+Cerebras | first | |
| | Decision explainability | logs | NL rationale per decision | first | |
| | Energy/token | baseline | -30% | -30% | |
| | Self-heal time | manual | <5 sec autonomous | full | |
| | Adaptation new workload | weeks | minutes | 1000× | |
| | Jain fairness | 0.87 | ≥0.95 | +9% | |
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| ## Budget total dépassement |
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| - Phase E: $300 GPU + 6-8 sem |
| - Phase F: $300 GPU + 6-8 sem |
| - Phase G: $100 GPU + 4 sem |
| - **Total: ~$700 GPU, 4-5 mois** |
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| ## Files location |
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| - `docs/ARCHON_INFERENCE_TURBO_PLAN.md` — Phase A-D plan |
| - `docs/ARCHON_OVERTAKE_PLAN.md` — Phase E-G plan |
| - `inference_turbo/m1_*.py` to `m20_*.py` — all 20 modules |
| - `inference_turbo/STATUS.md` — this file |
| - `inference_turbo/*_results.json` — LIVE bench results |
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| ## V100 sync state |
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| Tous les 20 modules en `/workspace/archon_sft_v2/` sur V100 (ssh -p 27339 root@159.48.242.11). Smoke tests passent. |
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| ## Next session priorities |
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| 1. SFT v2 reprend sur PRO 6000 → step 50000 → ckpt final |
| 2. Re-bench M1 MTP self-spec avec SFT v2 ckpt → vérifier speedup ≥1.5× |
| 3. Phase E launch: M13 KV training data collection (Mooncake traces) |
| 4. Phase E launch: M15 RL head training trace synthesis |
| 5. Phase F: M14 cross-vendor test (loue MI300X 1h Vast $1.5) |
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