Sandgarden
Sandgarden provides production-ready infrastructure by automatically crafting the pipeline of tools and processes needed to experiment with AI. This helps businesses move from test to production without figuring out how to deploy, monitor, and scale the stack.
With Sandgarden you get an enterprise AI runtime engine that lets you stand up a test, refine and iterate, all in support of determining how to accelerate your business processes quickly. Time to value is their ethos and as such the platform is freely available to try without going through a sales process.
While both MLflow and Sandgarden emphasize rapid testing, only with Sandgarden is every POC production ready. In contrast to MLflow’s sluggishness in adapting to new models, Sandgarden lets you easily swap out components for better alternatives as they become available. And whereas MLflow may not be appropriate for large-scale operations, Sandgarden readily scales from zero to massive-production with minimal overhead.