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Inference deployment
Deploy and update inference endpoints for your applications.
Managed AI Infrastructure
Managed AI Infrastructure Without the Operational Burden
Technical planning, deployment coordination, optimization, and operational support for AI workloads.
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Overview
Hand off the operations
We blend enterprise systems integration experience with AI infrastructure management.
From capacity planning and environment setup to monitoring, tuning and incident response coordination, we take on the operational work around your AI workloads.
Service tiers: assessment-only, deployment project, or monthly managed service. Quote based on scope and SLAs.
Discuss Managed AI Services
What we deliver
Key elements of our managed AI services
The operational work around AI workloads, handled for you.
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GPU environment setup
Provisioning, access controls and configuration of GPU environments.
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Capacity planning
Plan capacity ahead of demand.
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Monitoring & performance tuning
Track health and tune for speed and efficiency.
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Incident response coordination
Coordinated response when something goes wrong.
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Cost optimization
Regular reviews to keep spend under control.
Our approach
How a managed service runs
Documented, monitored and reviewed every month.
Customer requirements
Workloads, targets and constraints.
Infrastructure selection
The right platform for the job.
Deployment
Build and configure the environment.
Runbooks and monitoring
Documented procedures and alerting.
Monthly service review
Usage, performance and cost, reviewed together.
Business advantages
Why teams choose our managed service
Less operational burden, more time for models and products.
- Less operational burden
- Provisioning and access controls
- Monitoring
- Performance tuning
- Capacity planning
- Incident response coordination
- Cost optimization
- Documented runbooks
- Monthly service reviews
- SLA by contract
Why I-Vintage
Operations with enterprise discipline
We run AI infrastructure the way enterprise systems should be run.
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Enterprise systems integration experience
Experience running business-critical systems, applied to AI.
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Clear responsibilities
Each proposal defines what we do and what the infrastructure provider does.
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Flexible service tiers
From a one-off assessment to a monthly managed service.
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Monthly reviews
Regular reviews of usage, performance and cost.
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