What is Redwood Inference Edge?
A production-grade machine learning offering from Redwood, Redwood Inference Edge balances cost and performance with automatic scaling and built-in redundancy. Pricing is published on a single page, quotas are documented per region, and support covers everything from capacity planning to incident response. Redwood operates it as a fully managed service: patching, capacity, and failover are handled upstream, while access controls and spend alerts stay in your hands.
Key features
- Automatic replication across availability zones
- Role-based access control with audit logging
- Drop-in Terraform provider and CloudFormation templates
- Built-in daily snapshots with 35-day retention
- 99.95% or better regional SLA with service credits
- Live migration for planned maintenance, no downtime window
Typical use cases
- SaaS platforms scaling from first customer to full estate
- Media and content workloads with heavy read traffic
- Development teams standardizing on one infrastructure API
- Disaster recovery sites kept warm without idle hardware costs
Why Redwood?
Redwood publishes list prices for every region and never gates core capabilities behind enterprise-only tiers. Capacity is pre-provisioned, so the performance you benchmark in a sandbox is the performance you get in production. And because egress rates are flat, the bill at the end of the month matches the estimate you made at the start.
Getting started
Create an account, pick a region, and the default configuration is live in under a minute. The quickstart walks through your first deployment in about ten minutes, and the managed Terraform module turns the same setup into code you can review.
