Taking Control of AI Infrastructure
Reducing AI Costs and GPU Wait Times with VCF
A large travel and hospitality company faced unpredictable costs and delays when running AI workloads in the public cloud. Computacenter helped design and deploy VMware Cloud Foundation to bring AI modeling and inferencing on-premises, improving cost control, security and access to GPU capacity.
Large multinational company operating in the travel industry
VerticalHospitality
ServiceAdvisory Services; Configuration; Architecture & Design; Training & Education
RegionsGLOBAL
Challenges
- Loss of virtualization knowledge
- Limited VCF architecture expertise
- Complex day-two operations
- Need for on-premises automation
- On-premises networking and security requirements
Relevant Facts & Figures
- Reduced unpredictable OPEX overages by 50%
- Average GPU wait time reduced by 90%
- Secure local AI modeling and inferencing enabled
Results
- Reduced infrastructure utilization
- Enabled platform, DevOps, and SRE best practices
- Modernized AI infrastructure architecture
- Increased predictability of OPEX spending
- Improved security for data science workloads
Learn how Computacenter helps organizations modernize VMware environments, repatriate workloads and build secure, scalable private cloud platforms for AI.
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