Changelog¶
Changelog for the Amazon Linux 2023-based strands-decider images.
Strands Decider 1.0.0 (strands-decider 0.3.1.dev1) — 2026-11-10¶
Tags: serve-sagemaker-cuda · serve-sagemaker-cuda-v1 · serve-sagemaker-cuda-v1.0 · serve-sagemaker-cuda-v1.0.0
strands-decider source: 9a7470e
Highlights¶
- Initial release of the strands-decider inference container on Amazon Linux 2023, for Amazon SageMaker AI real-time endpoints on NVIDIA GPUs (port 8080).
- Serves
strands-decider serve:POST /invocationsandPOST /v1/systemoneanswernoul,choice, andscorequestions with calibrated probabilities, andGET /pingreports readiness. - Finds the checkpoint under
/opt/ml/modeland loads the base model frombase/with no network access. - Warms up before
/pingsucceeds, so the first request does not wait for kernel compiles. - Runs one request on the model at a time by default (
DECIDER_MAX_CONCURRENCY=1), so bursts of large requests queue instead of running out of GPU memory. - Splits a model larger than one GPU across the instance's GPUs with
DECIDER_DEVICE_MAP=auto. - PyTorch 2.7.1 (CUDA 12.8) on the CUDA 12.9 base image, Python 3.13, transformers 5.19.0, flash-linear-attention, and a compiled causal-conv1d 1.7.0.
Supported Models at Launch¶
strands-decider-2B-qwen3.5-v1-2610,strands-decider-E2B-gemma4-v1-2610, andstrands-decider-E4B-gemma4-v1-2610, tested on one L4.strands-decider-12B-gemma4-v1-2610, tested on one L40S.strands-decider-26B-A4B-gemma4-v1-2610, tested across L40S GPUs withDECIDER_DEVICE_MAP=auto.