Computing Center Upgrade Solution
Smooth evolution and cost-effective upgrade solutions for transforming existing data centers into AI computing centers
Why Existing Data Centers Must Be Upgraded
With the explosion of LLMs, AI inference, and edge computing workloads, traditional general-purpose computing-centric data centers are facing unprecedented transformation pressure. The network, power supply, and cooling infrastructure of existing data centers must be specifically upgraded to carry new AI computing workloads.
Core Conclusion: Upgrading existing data centers is not about "tearing down and rebuilding," but about "precision upgrades." Network upgrades are the core leverage for AI computing transformation: bandwidth improvement → GPU efficiency release → business value realization.
Typical Status of Existing Data Centers
1G RJ45 NIC + Gigabit switch, bandwidth gap of 10~25x
Cat5e/Cat6 copper cables, high-speed links must be replaced
Essentially no GPU nodes or limited inference cards, core upgrade item
Three-Phase Smooth Evolution Path
Access Layer Upgrade
10G access, GPU cluster foundation
- Deploy EZMAX 10G NICs
- 10G switch replacement
- Cat6A copper cabling
- SR-IOV virtualization configuration
Leaf-Spine Architecture
25G/100G all-optical networking
- 25G/100G optical module deployment
- MPO high-density cabling
- RoCEv2 lossless network configuration
- RDMA performance tuning
400G Backbone Expansion
Cross-POD/Cluster expansion
- 400G backbone switches
- Full Mesh topology networking
- ECMP multi-path load balancing
- Intelligent O&M platform
🎯 Applicable Scenarios
- Traditional data center AI transformation
- IDC room upgrade and expansion
- Enterprise private cloud GPU cluster construction
- Edge computing node deployment
⚡ Core Requirements
- Smooth Evolution: Protect existing investments
- Cost Control: Phased investment as needed
- Lowest Risk: Compatible with existing facilities
- Rapid Deployment: Shorten time-to-market
ROI Analysis and Cost Estimation
Value Proposition
Smoothly Evolve Existing Data Centers to AI Computing Centers
Through precision upgrade strategies, achieve smooth evolution from data center to AI computing center while protecting existing investments, with phased investment, controllable costs, and lowest risks.
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