Model Fine-Tuning & Deployment
Hosted models are the right choice for most work, but some tasks need a model that runs inside your own environment for privacy, control, or unit cost at scale. We fine-tune and deploy open models on your cloud, with the evaluation, monitoring, and update process that keeps a self-hosted model dependable rather than a science project.
Decide when self-hosting is worth it
We are honest about the trade-off: self-hosting adds operational work and only pays off for specific privacy, control, or high-volume cost reasons. We help you decide with a clear comparison, and only recommend fine-tuning or self-hosting when it genuinely beats a hosted API for your case.
Fine-tuning and evaluation
Where a task benefits from it, we prepare data, fine-tune an open model, and measure the result against a held-out evaluation set so improvement is proven, not assumed. We compare against strong prompted baselines first, because a good prompt often removes the need to fine-tune at all.
Deployment, scaling, and monitoring
We deploy the model on your cloud with autoscaling, secure endpoints, and monitoring for latency, throughput, and drift. Update and rollback procedures are documented, so the model can be improved safely over time and your team can operate it with confidence.
What You Get
- Hosted-vs-self-hosted trade-off analysis
- Data preparation and fine-tuning
- Held-out evaluation and benchmarking
- Deployment on your cloud with autoscaling
- Monitoring for latency, cost, and drift
- Update and rollback runbooks
Why Teams Choose Turn Global
- Honest advice on when self-hosting pays off
- Improvement proven with evaluation
- Runs in your own environment for privacy
- Operable, monitored, and documented
Ready to Start?
Contact our team and we will send the best implementation plan for your business.