The AI Kickstarter
Walk away with working open source AI models deployed in your environment and connected to your actual workloads. Not just training—real implementation.
Overview
Our 3-day intensive implementation session pairs your senior engineers with the authors of KubeAI to get open source AI models running in your environment and connected to your actual workloads.
Day 1: Setup & Deployment
Deploy open source LLMs on your Kubernetes infrastructure with the KubeAI authors guiding your team through the entire process. By the end of day 1, you'll have models running in your environment.
Day 2 & 3: Integration & Testing
Connect your deployed models to your pre-selected workloads—whether it's IDE integrations for developers, internal chatbots, or custom applications. Test, optimize, and prepare for production.
Post-Implementation Support
30 days of technical support as you scale your implementation to production. The KubeAI team remains available to help overcome any challenges that arise after the initial deployment.
What You'll Accomplish
Walk away with concrete results and working implementations, not just knowledge.
Fully deployed open source LLMs running in your Kubernetes environment
Working integration with one of your pre-selected workloads (IDE plugins, chatbots, etc.)
Optimized performance for your specific hardware and usage patterns
Knowledge transfer to your engineering team through hands-on implementation
Monitoring and observability setup for your AI infrastructure
Clear roadmap for your next steps
Direct relationship with the KubeAI project authors for ongoing support
Implementation Details
Everything you need to know about our AI Kickstarter implementation.
Format & Schedule
Format
3 full days of hands-on implementation (9am - 5pm each day)
Team Composition
Your senior engineers paired with KubeAI project authors
Focused on your specific implementation needs
Participants
Limited to 4-6 of your senior engineers per session
Requirements & Pricing
Pre-Implementation Planning
Selection of target workloads for AI integration
Brief assessment of your current Kubernetes environment
Technical Requirements
Access to your Kubernetes cluster
Adequate GPU or TPU resources
Investment
$50,000
Includes 30 days of post-implementation support
Ready to implement AI in your environment?
Contact us to schedule your AI Kickstarter implementation session and walk away with working AI models integrated into your systems.