Fewer moving parts, same model access

Why teams consider leaving Bedrock

Bedrock's value is AWS integration and enterprise procurement. Its cost is operational: IAM roles, gateway configuration, per-model invocation APIs, and pricing that varies by model and region. For teams that mostly want model inference, that complexity is overhead.

Bedrock vs Plugsky

	AWS Bedrock	Plugsky
Setup	IAM roles, gateway, per-model config	One API key
API style	Multiple invocation APIs	OpenAI-compatible, one endpoint
Models	Marketplace of hosted models	30+ hosted models, one key
Failover	You configure it	Automatic cascade
Residency	AWS regions	In-region, VPC, or on-prem

Migration path

1. Create a Plugsky workspace and key.
2. Switch your client to https://api.plugsky.com/v1 (OpenAI SDK works directly).
3. Map Bedrock model IDs to Plugsky models in one config file.
4. Run the same prompts through both for a week; compare.
5. Cut over environment by environment.

When Bedrock is the better choice

If you are deeply invested in AWS — existing IAM governance, consolidated billing, or managed services like SageMaker — Bedrock may remain the pragmatic choice. Plugsky is the better fit when you want inference without the AWS ceremony, or when you need sovereignty that AWS regions don't provide.

FAQ

Is Plugsky OpenAI-compatible?

Yes — the OpenAI SDK works by changing base_url. See the quickstart.

Do I lose AWS features?

You lose AWS-managed governance around Bedrock; you gain a simpler API and sovereign deployment options. See data residency.

What does it cost?

Flat plans from $5.60/month. See pricing.