Guides & Reference
Everything you need to understand and use ResonTech — from product overview to production integration.
Guides for getting started, running jobs, and integrating your code.
Getting Started
Platform
Files & Storage
Your auto-provisioned S3 bucket — browse folders, upload datasets, and edit scripts in the browser.
Submit Wizard
Step-by-step walkthrough of all 7 wizard steps — name, training, federation, model, advanced, validate, launch.
Jobs & Results
Track running jobs, read training logs, and download the final model checkpoint when training finishes.
Integration
FL Integration Guide
Write model_def.py, wire up fl_train_model(), and adapt your existing PyTorch code for federated learning.
Dataset Format & Sharding
How to structure and shard your dataset into zips so workers receive the right data.
rclone Access
Mount your bucket locally with rclone so you can upload files from your machine.
Product overview, company background, and architectural details.
Product
Solution
What ResonTech is, why it exists, and how training and inference work in four steps each.
Infrastructure
Three GPU cluster types, how the distributed network aggregates compute, and performance characteristics.
Use Cases
How ML researchers, production teams, and enterprises each use ResonTech — pain points, workflow, and benefits.