AI only delivers results when it’s grounded in
your platform, your applications, and your data.
Capstone IT Solutions aligns platform readiness, application integration, and responsible AI execution—so AI becomes a business capability, not a future promise.
Most organizations are eager to adopt AI but struggle to move beyond experimentation. Models are powerful, but platforms aren’t ready, data is fragmented or governed too tightly, and teams lack a secure way to operate AI on scale. The result is stalled pilots, rising risk, and unrealized ROI.
VMware Private AI
Infrastructure Modernization
Common IaaS and consumption surface for compute, network, storage and security
Operations Modernization
Centralized provisioning, updating, capacity management, monitoring and business continuity
AI Platform Enablement
Self-service AI operations, intelligent sharing of GPUs and AI infrastructure, choice of AI and data services
Dynamic AI/ML Operations
Automated capacity allocation and reclamation, governance and policy enforcement
Challenges to Implementing Private AI
- Staff and time constraints, lack of skills and expertise
- Unsure how to prevent IP leakage
- Lack of a standardized, prescriptive architecture
- Difficulty integrating with the existing environment
- Unsure how to reduce vulnerability to security attacks
- Difficulty managing and operating the environment
Implement a VMware Private AI Foundation with NVIDIA
Add to existing full stack VMware Cloud Foundation®
- Add to existing full stack VMware Cloud Foundation®
- Access existing VCF environment capabilities
- Deploy and configure private AI foundation components
- Deploy and prepare a scalable AI framework and data services
- Deploy and validate NVIDIA Retrieval-Augmented Generation DLVM
- Define and prepare a private AI sharing model for GPUs
- Customize DLVMs or Private AI clusters
- Define private AI team roles and skills
- Provide operational assistance
Enterprise AI Use Cases
AI Case Studies
