The Problem
Your AI model works in the notebook. Getting it to production is another story.
Third-party AI APIs are convenient, but costs spiral as you scale. Data leaves your control. Outages at the provider become your outages. And you're locked into someone else's roadmap.
Self-hosting sounds great until you hit the complexity: GPU provisioning, model serving, scaling, monitoring—it's a full-time job just keeping things running.
What MLOps Solves
Proper MLOps gives you control without chaos:
- Predictable costs: Your infrastructure, your hardware, your budget
- Data sovereignty: Sensitive data never leaves your environment
- Reliability: No dependency on external API uptime
- Performance: Optimize latency and throughput for your specific needs
You get the benefits of self-hosted AI without building an infrastructure team from scratch.
How We Help
We set up your AI infrastructure and make sure it stays running:
- Cloud Setup: Production deployment on AWS, Azure, Scaleway, or your preferred provider
- Infrastructure as Code: Terraform, Pulumi, CDK—reproducible, version-controlled infra
- Model Serving: Optimized vLLM, Lorax, or Triton configuration for your workloads
- Monitoring & Alerting: Know about problems before your users do
We build it, document it, and hand it over. Your team runs it.