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Natural intelligence (NI) for intelligent transformative connections

Cognitive dynamic system (CDS) = NI

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AI-OptiNet: Redefining Network Optimization Across Platforms

  • Transformative Technology: AI-OptiNet is a game-changer for data centers and telecom operations.

  • Seamless Integration: Installs on DSP chips, uses parallel processing, or connects via API on network cards.

  • Versatile Performance: From long-haul to short-range, AI-OptiNet is built to enhance efficiency.

  • Proven Results: Demonstrated BER improvement from 0.022 to 0.0013 in 15 Tbps experimental data.

  • Significant Improvement: Boosts system efficiency by over 17 times standard metrics.

  • Real-World Application: Advanced analytics engine validated by actual operational data.

  • Intellectual Property: Interface redacted to protect our innovative technology.

  • Continuous Innovation: Our MVP underscores our dedication to network optimization excellence.

  • Future-Ready: With AI-OptiNet, set new performance benchmarks for the digital future.

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AI-OptiNet: Expanding Intelligent Connectivity

AI-OptiNet revolutionizes networking by extending the reach of standard optical transceivers. Our technology enables Short-Reach (SR) transceivers to achieve distances typical of Long-Reach (LR), and even Extended Reach (ER) and Z-Reach (ZR) transceivers, while ensuring low latency and reducing power consumption.

Whether you're looking to extend your current network's reach cost-effectively or aiming to maintain data integrity with lower latency, AI-OptiNet provides an intelligent solution. By optimizing signal processing, AI-OptiNet allows you to enhance your existing infrastructure to meet the ultra-low latency standards required for next-generation 5G and 6G networks.

Optical Transceiver Range Definitions:

  • Short-Reach (SR): Designed for distances up to 2 km within data centers or between closely situated centers.

  • Long-Reach (LR): Capable of transmitting data over distances of up to 10 km, suitable for larger data center campuses.

  • Extended Reach (ER): Suitable for links up to 40 km, connecting geographically dispersed data centers within a region.

  • Z-Reach (ZR): For the longest data center interconnects, covering up to 80 km or more, ideal for connecting across different urban areas.

With AI-OptiNet, invest in smarter networking—amplify your data center’s reach and performance without compromising on speed or efficiency.

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AI-OptiNET: Transforming Telecom sectors

AI-OptiNET revolutionizes network connectivity, offering significant enhancements for metro, regional, and long-haul networks. By optimizing optical transceiver performance, it extends network reach, increases data rates, and reduces operational costs, all while maintaining low latency and power efficiency.

Network Definitions:

  • Metro Networks: Cover up to 300 km, serving cities and metropolitan areas.

  • Regional Networks: Span up to 600 km, connecting broader regions.

  • Long-haul Networks: Extend from 600 km to 10,000 km, covering national to transcontinental distances.

  • Key Benefits:

  • Maximize Reach: AI-OptiNET extends the effective distance of transceivers, enabling metro and regional networks to achieve longer reach without the need for expensive upgrades.

  • Upgrade Data Rates: It improves BER, allowing for higher-order modulation such as moving from QPSK to 16-QAM, doubling the data throughput over the same distance.

  • Cost-Effective Solutions: Operators can utilize more affordable metro transceivers for tasks traditionally requiring costlier long-range alternatives.

  • Efficiency Gains: With the option to disable SD-FEC, networks can save up to 20% in bandwidth, significantly reduce latency, and lower power consumption, ideal for ultra-low latency applications like 5G and 6G.

AI-OptiNET's integration into existing network devices like muxponders streamlines the enhancement of network performance. This technology is a game-changer, ensuring networks are more robust, capable, and forward-compatible with emerging standards and demands.

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