Home ﹥ Hot News > Artificial Intelligence > Computing > large-scale multi-agent parallelism -SSD-V3.1.3 2026-02-15
Under stress testing of "large-scale multi-agent parallelism," these results demonstrate a comprehensive breakthrough in "cognitive coherence." Verdict: Production-Grade Excellence XRM-SSD-V3.1.3 delivers the rock-solid stability enterprises demand for large-scale AI clusters — at ultra-low cost (40–60× cheaper than baselines, per Inference Analysis).
Cluster Resonance & Entropy Suppression Multi-Agent Stress Test:
4 Data Centers • Edge-to-Cloud Gossip • RCOS vNext + Circuit Breakers V2/V3 • 200 Ticks Key Advantages
• 98.5% cheaper than Opus 4.5
• 98.1% cheaper than Perplexity
• 97.9% cheaper than Gemini
• 50–67× more cost-efficient than competitors
• 56.9% token savings + 95.0% routing pass rate + only 5% guardrail blocks Outstanding Stability & Suppression Results Ultra-Low Inference Cost – 40–60× Cheaper than Competitors
Cost per Query: $0.000295 (A100) / $0.000049 (T4) / $0.000039 (CPU) Optimized: $0.00006–$0.00009 with quantization + caching Cost Comparison (Deep Research Tasks)
Model | Cost/Query | F1 Score | Queries per {2}lt;br /> ---------------------------------|------------------|--------------|---------------
XRM-SSD-V3.1.3 (A100) | $0.000295 | 90.5% | 3,390
XRM-SSD-V3.1.3 (T4) | $0.000049 | 90.5% | 20,350
Perplexity | $0.015000 | 79.5% | 67
Anthropic Opus 4.5 | $0.020000 | 76.1% | 50
OpenAI GPT-5.2 | $0.018000 | 71.3% | 56
Moonshot K2.5 | $0.012000 | 77.1% | 83
Computational & Resource Profile Total: 19.32 GFLOPs/query Top Components:
Meta-Optimization 24.8%
• Semantic Search 18.1%
• RCOS Reasoning 16.6%
• Memory: 0.66 GB peak (fits any GPU)
• Latency: 353.8 ms (0.35 s/query)
• Throughput: 2.83 queries/sec (single GPU) Entropy Suppression
• Avg entropy drops from ~0.25–0.30 to ~0.00 within 25–50 ticks
• Remains near-zero (~0.00–0.02) for >50% of run — effectively damped to background noise
• Peak suppression delta ~0.25 early → sustained low values (~0.01–0.05) Resonance Order Control
• Smooth rise from ~0.2 to ~0.85 across all DCs (TW, JP, SG, US)
• No explosive growth, oscillations, or runaway resonance — clean convergence RCOS Mechanism Activations • Peak during stress window (ticks 40–140), then graceful decay
• Warp, Barrier-replan, and Barrier-rewind most active — targeted, efficient interventions Edge vs Cloud Synchronization
• Edge DCs show consistently lower entropy than Cloud (US) during stress • Gossip RTT: Edge-to-Edge ~18 ms vs Edge-to-Cloud ~45 ms
• Gap narrows cleanly after tick 100 — excellent cross-DC coordination Production Implications ✓ Near-perfect damping under prolonged heavy load — no cascading failures or thrashing ✓ Cluster stays calm & predictable — ideal for 24/7 global AI operations ✓ Automatic resonance suppression — reliable for distributed workloads ✓ Ready for real-world scale: Global RAG
• Federated Inference
• Multi-Region Agents
#scale
Cluster Resonance & Entropy Suppression Multi-Agent Stress Test:
4 Data Centers • Edge-to-Cloud Gossip • RCOS vNext + Circuit Breakers V2/V3 • 200 Ticks Key Advantages
• 98.5% cheaper than Opus 4.5
• 98.1% cheaper than Perplexity
• 97.9% cheaper than Gemini
• 50–67× more cost-efficient than competitors
• 56.9% token savings + 95.0% routing pass rate + only 5% guardrail blocks Outstanding Stability & Suppression Results Ultra-Low Inference Cost – 40–60× Cheaper than Competitors
Cost per Query: $0.000295 (A100) / $0.000049 (T4) / $0.000039 (CPU) Optimized: $0.00006–$0.00009 with quantization + caching Cost Comparison (Deep Research Tasks)
Model | Cost/Query | F1 Score | Queries per {2}lt;br /> ---------------------------------|------------------|--------------|---------------
XRM-SSD-V3.1.3 (A100) | $0.000295 | 90.5% | 3,390
XRM-SSD-V3.1.3 (T4) | $0.000049 | 90.5% | 20,350
Perplexity | $0.015000 | 79.5% | 67
Anthropic Opus 4.5 | $0.020000 | 76.1% | 50
OpenAI GPT-5.2 | $0.018000 | 71.3% | 56
Moonshot K2.5 | $0.012000 | 77.1% | 83
Computational & Resource Profile Total: 19.32 GFLOPs/query Top Components:
Meta-Optimization 24.8%
• Semantic Search 18.1%
• RCOS Reasoning 16.6%
• Memory: 0.66 GB peak (fits any GPU)
• Latency: 353.8 ms (0.35 s/query)
• Throughput: 2.83 queries/sec (single GPU) Entropy Suppression
• Avg entropy drops from ~0.25–0.30 to ~0.00 within 25–50 ticks
• Remains near-zero (~0.00–0.02) for >50% of run — effectively damped to background noise
• Peak suppression delta ~0.25 early → sustained low values (~0.01–0.05) Resonance Order Control
• Smooth rise from ~0.2 to ~0.85 across all DCs (TW, JP, SG, US)
• No explosive growth, oscillations, or runaway resonance — clean convergence RCOS Mechanism Activations • Peak during stress window (ticks 40–140), then graceful decay
• Warp, Barrier-replan, and Barrier-rewind most active — targeted, efficient interventions Edge vs Cloud Synchronization
• Edge DCs show consistently lower entropy than Cloud (US) during stress • Gossip RTT: Edge-to-Edge ~18 ms vs Edge-to-Cloud ~45 ms
• Gap narrows cleanly after tick 100 — excellent cross-DC coordination Production Implications ✓ Near-perfect damping under prolonged heavy load — no cascading failures or thrashing ✓ Cluster stays calm & predictable — ideal for 24/7 global AI operations ✓ Automatic resonance suppression — reliable for distributed workloads ✓ Ready for real-world scale: Global RAG
• Federated Inference
• Multi-Region Agents
#scale
