Concept-to-production support
AI / ML Services
Take an AI use case from concept toward production
AI/ML project services connect the use case with GPU, Token Hub and Storage as needed. Begin with the use case, data and evaluation criteria. Then assess whether model access through Token Hub is sufficient or GPU-based training and serving are needed.
Ruk-Com Agent
Agent support across every service
Working with our specialists across Technology and Cyber Security: monitoring, anomaly analysis, planning and coordinated response.
Technology · Performance, capacity and operations
Cyber Security · Risk, vulnerabilities and threat monitoring
Data access, changes and support levels follow the permissions and service scope agreed with our team.
Meet Ruk-Com AgentService details
Define AI evaluation around a real business problem
AI/ML project services connect the use case with GPU, Token Hub and Storage as needed. Begin with the use case, data and evaluation criteria. Then assess whether model access through Token Hub is sufficient or GPU-based training and serving are needed.
GPU
Token Hub
Storage
Plan before you start
- Which business problem should AI solve?
- How ready is your data?
- How will success be measured?
Should I buy GPU capacity before defining the AI project?
Begin with the use case, data and evaluation criteria. Then assess whether model access through Token Hub is sufficient or GPU-based training and serving are needed.
What should I prepare for a AI / ML Services assessment?
Prepare answers to: Which business problem should AI solve? How ready is your data? How will success be measured? This helps the team propose the right scope and costs.