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AI-FlexiForce Intelligent Computing Center Network Solution

Unlimited Computing Power, Connecting the Future

The AI-FlexiForce Intelligent Computing Center Network Solution, designed for next-generation AI cloud services, features high throughput, high bandwidth, and high availability. It can be applied to various service scenarios such as big data processing, machine learning, and AIGC. This solution helps customers build intelligent computing center networks with tens of thousands of GPUs, driving rapid development of AI services.

Project Consulting
Challenges
Project Consulting
Challenges in Building an Intelligent Computing Center Network for Next-Generation AI Cloud Services
With the rapid development of AIGC, major global cloud service providers have also launched their own large models and corresponding AI cloud services to accelerate the development of computing servers.
This, in turn, has sped up the deployment of AI accelerator cards by cloud users. Therefore, improving the GPU cluster efficiency is crucial for maintaining strong competitiveness in the AI cloud service model.
Impact of Node Scale on Training Efficiency
Simply increasing the server node scale results in a decrease in cluster computing efficiency.
Impact of Node Scale on Training Efficiency
Impact of Bandwidth on Training Efficiency
The communication bandwidth of the server cluster has become a bottleneck in improving distributed training efficiency.
Impact of Bandwidth on Training Efficiency
Impact of Dynamic Latency on Training Efficiency
Network congestion leads to high dynamic latency, reducing GPU utilization and extending training time.
Impact of Dynamic Latency on Training Efficiency
Impact of Packet Loss Ratio on Training Efficiency
Retransmissions of lost RDMA packets cause a rapid decrease in bandwidth utilization, with the packet loss ratio reaching 1%, severely affecting training efficiency.
Impact of Packet Loss Ratio on Training Efficiency
AI-FlexiForce Intelligent Computing Center Network Solution
Building an Ultra-Large Intelligent Computing Center Network with Tens of Thousands of GPUs
DDC Two-Layer Networking
DDC Three-Layer Networking
Number of NCF devices 40
Number of NCP devices 96
Number of NCP groups 12
Number of 400GbE ports 1728
Number of AI servers 216

*One AI server is equipped with eight 400G NICs.

DDC Two-Layer Networking
Solutions & Products
Improved Computing Power
Improved Computing Power
Meet requirements of large-scale AI cluster networking
Improve network bandwidth utilization by over 20%
Increase GPU utilization by over 8%
Optimized Bandwidth
Optimized Bandwidth
Adopt cell slicing technology
Achieve balanced load for data flow forwarding
Effectively reduce tail latency
Ensure low-latency and stable transmission in AI clusters
Lossless Transmission
Lossless Transmission
Use the VOQ technology with signaling scheduling
Ensure no packet loss during service data forwarding within the cluster
Achieve lossless transmission.
Maturity and Openness
Maturity and Openness
Mature chip technology based on cell slicing and VOQ
Chip solution for large-scale applications
Open ecosystem without vendor lock-in
Flagship Products
NCP-RG-S6930-18QC40F1 NCP-RG-S6930-18QC40F1 18 x 400G service ports and 40 x 200G fabric inline ports NCF-RG-X56-96F1 NCF-RG-X56-96F1 96 x 200G fabric inline ports

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