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AI Computing Network Solution
Scalable AI Computing Networking for the New Era. Meet the most stringent
interconnect demands with H3C’s industry-leading architecture, enabling flexible and
lossless optimization tailored for diverse AI clusters.
Next-Gen Lossless Networking
Powering AI with Diversified Dynamic-Connectivity(DDC) Architecture and Cell-Based
Switching. Eliminate congestion and orchestration bottlenecks with our intelligent,
hyper-scale solution designed for maximum performance, scalability, and automated
operations.
Three Core Networking Challenges in AI Training
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Massive Connection Scale
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Scale
Support for 100K+ GPU clusters.Speed
400G/800G high-speed networking becomes base requirements.Capacity
High-density ports determine cluster limits of single device.
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Low Connection Efficiency
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Bottlenecks
Packet loss and traffic bursts limit compute efficiency.MoE Pressure
All-to-All traffic surges strain the network.
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Low Connection Availability
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Deployment
Manual provisioning is slow and inefficient.Visibility
Difficult fault backtracking and lack of monitoring.
Architecture
Core Advantages
Build scalable, high-efficiency AI infrastructure. From 1,000 to
100,000+ GPUs, H3C ensures seamless
model evolution with hyper-scale, lossless networking.
model evolution with hyper-scale, lossless networking.
Hyper-Scale
16x Capacity: Delivers 16x the industry-standard networking capacity per POD.
10K-GPU Support: Seamlessly scales to support clusters of 10,000+ GPUs.
Ultra-Efficiency
20% Boost: Proprietary "Multi-rail + Path Navigation" tech increases training efficiency by 20%.
IB-Level Performance: DDC architecture achieves 100% load balancing, matching InfiniBand performance.
Superior Operability
10x Faster: Integrated deployment accelerates provisioning and reliability by 10x.
Full Visibility: Real-time tracking and fault backtracking for accelerated troubleshooting.
Tech Insights
