
Nova Forge is Amazon’s “open training” service – companies can build custom “Novellas” by mixing proprietary data with Nova checkpoints. This isn’t fine-tuning. It’s a new paradigm where enterprises own the model without bearing the training cost.
The Open Training Model
Traditional model customization offers two options: fine-tune someone else’s model (limited control) or train your own from scratch (massive cost). Nova Forge creates a third path.
Companies bring proprietary data. Amazon provides Nova as the foundation. The result is a custom model that incorporates enterprise-specific knowledge while leveraging Amazon’s frontier capabilities.
Why This Changes Economics
Lower Entry Cost: Building a frontier model costs $100M-$500M. Nova Forge makes custom AI accessible to companies that could never justify that investment.
Faster Time-to-Value: Training from scratch takes months. Starting from Nova checkpoints compresses timelines dramatically.
Proprietary Advantage: Unlike generic fine-tuning, the resulting “Novella” incorporates deep organizational knowledge that competitors can’t access.
The Strategic Lock-in
Here’s what’s clever: Novellas are optimized for Trainium and served through AWS. Your custom model runs best on Amazon’s infrastructure. The more you invest in your Novella, the deeper your commitment to the Amazon stack.
This mirrors Amazon’s historical playbook: make it easy to start, make it hard to leave. The switching cost isn’t a contract – it’s the accumulated value of your custom model.
Key Takeaway
As the Great SaaS Bifurcation shows, AI is splitting into generic and embedded categories. Nova Forge enables the embedded path – AI that’s uniquely yours, served on Amazon’s rails.
Source: Amazon’s AI Superstructure on The Business Engineer









