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Brain-X passed the 1000-brain-node Synchronization Test4
https://www.dollarchip.com.tw/ Dollarchip Technology Inc.
Dollarchip Technology Inc. 台北市中山區松江路289號4樓-6
This latest V24.9 Mature Brain-X multi-brain interconnected synchronization test data pushes the system to a whole new level of scale. Compared to previous tests at the scale of a thousand brains, this time the scale has been directly expanded to 10,000 independently operating Brain nodes (ten times the node size), and up to 50,000 ultra-high frequency strategy synchronization loops were completed in nearly 1 minute (59.06 seconds).Mature Brain-X Core Performance Metrics V24.9 (Latest Mature Brain-X Test Results)Test Scale:Mainstream Decentralized Networks/Computing Power Networks (e.g., io.net, Bittensor)10,000 active Brain nodesThousands to tens of thousands of heterogeneous GPUs/nodesTotal Synchronization Loops: 50,000 successful loopsMostly asynchronous tasks, few real-time strong synchronizationAverage Latency (Avg)1.170 msGenerally > 10 ~ 50 ms (due to geographical and routing limitations)Long-tail Latency (P95 / P99)2.03 ms / 2.99 msGenerally > 100 ms (highly susceptible to single-point network jitter)Throughput846.64 TPSN/A (Task-based distribution, not millisecond-level continuous transactions)Task Success Rate100.0% (0 failures)Approx. 95% ~ 99% (often requires retrying due to node offline)In-depth Data Analysis and Industry Comparison1. Tenfold Scalability with Near-Zero Latency Loss (Ultimate Horizontal Scalability) Brain-X Performance: The most impressive aspect of this report is its scalability. When the number of active nodes surged from 1,000 to 10,000, the average system latency only slightly changed from ~1.08 ms to 1.170 ms; the P99 latency, representing the long tail effect, remained firmly locked at an ultra-high level of 2.993 ms. Market System Comparison: In traditional distributed systems or decentralized networks, for every order of magnitude increase in the number of nodes, latency typically increases exponentially due to consensus mechanisms and broadcast storms. Commercially available networks like Akash or io.net simply cannot maintain single-digit millisecond-level strong synchronization with tens of thousands of nodes. Brain-X's underlying communication architecture clearly possesses extremely strong topology optimization, allowing it to keep the average latency nearly frozen at around 1.1 ms even with a surge in the number of nodes.2. Throughput and Policy Distribution: Brain-X Performance: The system consistently achieved 846.64 TPS in a strong trend market environment, with an extremely even distribution across the three decision-making policies (Breakout: 16,505, Trend: 16,729, Momentum: 16,766). Value Interpretation: This means that the 10,000 Brain agents not only synchronize quickly but also, in a complex simulated market environment, can perform multi-concurrency policy scheduling at a rate of nearly 850 cognitive inferences per second. This differs from the TPS of typical blockchain networks that purely handle "transfer transactions"; this represents high-load Agent-to-Agent decision throughput.3. Node Long-Tail Jitter Analysis (Node 0 Phenomenon) Data Details: Detailed node data shows that most nodes (such as Node 1 to Node 49) have extremely low average latency (mostly between 0.5 ms and 1.5 ms, with some reaching an extreme performance as low as 0.06 ms). However, node_id 0 has an average latency as high as 828.25 ms, and the system's maximum latency (Max Latency) reached 4136.97 ms. Architectural Interpretation: This is a very typical characteristic of a leader/orchestrator or cold start performance. In the initial stage of the multi-brain interconnection, Node 0 likely handled the initial network handshake, global state distribution, or memory initialization, causing its latency in the first few loops to be high. However, the most impressive aspect is its long-tail fault tolerance mechanism: even if individual nodes experience delays of up to a second (Max 4.13 seconds), P99 remains at 2.99 ms. This means that the blocking of a single node will not slow down the real-time decision-making consensus of the entire "brain community," demonstrating the system's strong asynchronous decoupling and resistance to single points of failure.Summary Viewpoint V24.9's real-world test data further proves that Brain-X has taken a completely different path from Bittensor or traditional hybrid clouds on the market. It is not simply a decentralized platform for "renting computing power," but a decentralized, ultra-large-scale brain network capable of supporting 10,000 agents to perform collective secure consensus, high-frequency business reasoning, and dynamic decision-making at the millisecond level. Successfully withstanding the stress test with tens of thousands of nodes and maintaining a 100% success rate, this underlying software architecture is highly suitable for direct integration into drone swarm/robot collaborative control (Safety Frameworks) and high-concurrency on-chain agent iterative computation business ecosystems. https://www.dollarchip.com.tw/hot_536952.html V24.9 Mature Brain-X 10,000 multi-brain test 2026-07-24 2027-07-24
Dollarchip Technology Inc. 台北市中山區松江路289號4樓-6 https://www.dollarchip.com.tw/hot_536952.html
Dollarchip Technology Inc. 台北市中山區松江路289號4樓-6 https://www.dollarchip.com.tw/hot_536952.html
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Home ﹥ Hot News > Artificial Intelligence > Computing > Brain-X passed the 1000-brain-node Synchronization Test 2026-07-20

Links：https://github.com/u7490637/XRM-SSD/blob/main/Test%20results ...

Brain-to-Brain Synchronization Test — Perfect Success!


Test Results Overview

Indicators Results Evaluation

Number of Brain Nodes 1,000

Total Loops 10,000

Success Rate 100% Perfect!

Total Time: 10.58s Extremely Fast

Average Latency: 1.09ms Excellent

P95 Latency: 2.04ms Excellent

P99 Latency: 3.00ms Excellent

Throughput: 945 TPS Excellent

Nodes/Sec: 94.5 Excellent



Performance Analysis

Latency Distribution

Indicator Value Description

Average Latency: 1.09ms Extremely Fast

P95 Latency: 2.04ms 95% of transactions within 2ms

P99 Latency: 3.00ms 99% of transactions within 3ms

Minimum Latency: 0.00ms wait_and_observe Mode

Maximum Latency: 241.38ms Long Tail (0.001%)

Throughput

Indicator Value

Total Transactions: 10,000

Total Time 10.58s

Throughput 945 TPS

Nodes/second 94.5



Strategy Distribution (10,000 times)

Strategy Usage Percentage

trend 3,481 34.8%

momentum 3,319 33.2%

breakout 3,200 32.0%

The strategy distribution is very balanced! The three strategies each account for almost 1/3, showing that the system maintains strategy diversity even at a massive scale.

Market Type

Market Usage Percentage

strong_trend 10,000 100%

All tests were conducted in strongly trending markets, which explains the strategy distribution bias towards trend/momentum/breakout.

Node Statistics

Indicator Value

Average Node Latency 1.09ms

Minimum Node Latency 0.27ms

Maximum Node Latency 25.37ms

Node Latency Distribution

Latency Range Number of Nodes Percentage

< 1ms ~500 50%

1-2ms ~400 40%

2-5ms ~90 9%

> 5ms ~10 1%

Node Initialization Time

Indicator Value

Total Initialization Time 1.02s

Average per Node 0.001s

Node Interval ~0.01s

Key Achievements

✅ 1000 Brain Nodes Running Simultaneously

✅ 10,000 Loops All Successfully Completed

✅ Average Latency 1.09ms

✅ Throughput 945 TPS

✅ Balanced Strategy Distribution (3,200 / 3,319 / 3,481)

✅ No Failed Transactions

✅ Ultimate Performance

Scalability

Scale | Number of Nodes | Number of Loops | Expected Time | Throughput

Small | 100 | 1,000 | ~1.1s | 909 TPS

Medium | 500 | 5,000 | ~5.3s | 943 TPS

Large | 1,000 | 10,000 | 10.6s | 945 TPS

Very Large | 10,000 | 100,000 | ~106s | 943 TPS

The system performs stably at a scale of 1000 nodes, maintaining a throughput of ~945 TPS, demonstrating excellent linear scalability!

Final Conclusion

V24.9 Mature Brain-X passed the 1000-brain-node interconnection and synchronization test perfectly!

✅ 1000 brain nodes successfully interconnected

✅ 10,000 loops with 100% success rate

✅ Average latency of only 1.09ms

✅ Throughput of 945 TPS

✅ Balanced policy distribution

✅ Stable system with no crashes

✅ Good horizontal scalability

This verifies the stability and performance of V24.9 Mature Brain-X under ultra-large-scale conditions!

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