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AWS Bedrock — custom model import
docs.aws.amazon.com/bedrock/latest/userguide/model-customizaHyperscaler model catalogstorage/aws-bedrock-custom-model-importJSONcomparereport an errorprovider JSON
- Free allowance
- Hard per-object cap: 'The size of the imported model weights must be less than 100GB for multimodal models and 200GB for text models.' No free storage at all — the source must already live in your own S3 bucket, which you pay for.
- Verdict
- fails: quotathe free allowance is too small to matter
- Cost
- no price stated
- Identity
- cardcard required, no phone
- Binding limit
- noneno named constraint binds
- Evidence
- reported1 source; a third party said so
- Freshness
- stale on 2026-11-05checked 2026-10-21 (inherited); stale on 2026-11-05
| Free tier | Hard per-object cap: 'The size of the imported model weights must be less than 100GB for multimodal models and 200GB for text models.' No free storage at all — the source must already live in your own S3 bucket, which you pay for. unit none; metered on stored-bytes |
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| Price | none stated |
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| Identity | card card |
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| Egress | Paid S3 egress from your own bucket. Bedrock's catalog is a deployment target, not a host. |
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| Per-object cap | not stated |
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| Retention | not stated |
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| Interface | s3, rest rest |
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| Tooling | A real API for model import jobs, then InvokeModel. The import job reads from an S3 URI you supply. |
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| Composes with | None for storage — this is a consumer of S3 capacity, not a provider of it. |
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| Reliability | Not a storage provider. The answer is that the 'model catalog' is a deployment registry over storage you already pay for. |
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Evidence 1
| date | source | what it proved |
|---|
| 2026-10-21 | docs.aws.amazon.com/bedrock/latest/userguide/model-customiza | opened: 'The size of the imported model weights must be less than 100GB for multimodal models and 200GB for text models'; 'you specify the Amazon S3 URI for the source of the model files'; 'Amazon Bedrock supports transformer version 4.51.3'; 'Custom Model Import does not support embedding models.' |
More fields 1
{
"dead_end": {
"failure_class": "paid",
"why": "Hard per-object cap: 'The size of the imported model weights must be less than 100GB for multimodal models and 200GB for text models.' No free storage at all — the source must already live in your own S3 bucket, which you pay for.",
"retry_when": null,
"first_recorded": "2026-10-21"
}
}Unknown values 5
$.binding_note boilerplate$.per_object_cap.notes the field may be stated in a source that was not read$.per_object_cap.stated the field may be stated in a source that was not read$.retention.notes the field may be stated in a source that was not read$.retention.stated the field may be stated in a source that was not read