STATUS.md

ARCHON Inference Turbo + OVERTAKE — Status 2026-06-05

Coverage TOTAL: 20/20 modules codés (M1-M20) — Phase A→G

Phase A (drop-in) — 4/4 LIVE V100

Module	Validation	Métrique mesurée
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

Phase B — code complet, LIVE bench partiel

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

Phase C — skeletons + SFT recipes

Module	Path
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

Phase D — skeleton + brevet potentiel

Module	Plan
M4 Mixture of Recursions	✅ Router head + retrain $50

Phase E ARCHON-OVERTAKE — Catching champion (4 nouveaux modules)

Module	Smoke V100	Cible mesurable
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

Phase F ARCHON-OVERTAKE — Surpassing champion (4 nouveaux modules)

Module	Smoke V100	Cible mesurable
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

Phase G — Première mondiale (paper + brevet + open-source)

• 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

Champion à dépasser (composite)

• 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)

Métriques finales cibles dépassement

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%

Budget total dépassement

• 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

Files location

• 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

V100 sync state

Tous les 20 modules en /workspace/archon_sft_v2/ sur V100 (ssh -p 27339 root@159.48.242.11). Smoke tests passent.

Next session priorities

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)