Case Study | Telecom Provider GPU Virtualization Case Study
How a leading telecom provider leverages HAMi for GPU virtualization and heterogeneous device management
Client Overview
A major telecommunications provider in Asia faced increasing demands for AI/ML capabilities in their network operations, customer service systems, and value-added services. With over 200 million subscribers and operations across multiple regions, the company needed an efficient way to manage their growing GPU infrastructure.
Large-scale GPU Resource Pool
Multi-tenant Isolation
High Performance with Low Latency
Challenges & Solutions
Key Challenges
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Low GPU resource utilization (below 30%)
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Management complexity with isolated clusters
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Fluctuating workload demands
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High hardware acquisition costs
HAMi Solution
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Fine-grained GPU sharing and virtualization
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Unified cluster management interface
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Intelligent workload scheduling
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Hardware-accelerated isolation
Implementation Architecture
The HAMi solution provided a comprehensive virtualization layer that enabled unified management of heterogeneous GPU resources, with optimized scheduling and resource allocation.
Results & Benefits
Resource Utilization
80%
Significant increase in GPU utilization
Cost Reduction
40%
Decrease in hardware and operational costs
Response Time
90%
Improvement in service deployment and response time
Transform Your GPU Infrastructure
Discover how HAMi can help your organization achieve similar results with efficient GPU virtualization and heterogeneous computing management.
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