Changelog¶
Changelog for the Amazon Linux 2023-based TensorFlow Serving SageMaker inference images (2.20-gpu-py312-cu129-amzn2023-sagemaker and
2.20-cpu-py312-amzn2023-sagemaker).
TensorFlow Serving 2.20 — 2026-08-20¶
Tags: 2.20-gpu-py312-cu129-amzn2023-sagemaker · 2.20-cpu-py312-amzn2023-sagemaker · 2.20.0-gpu-py312-cu129-amzn2023-sagemaker ·
2.20.0-cpu-py312-amzn2023-sagemaker
Bundled versions: TensorFlow Serving 2.20.0 · Python 3.12 · CUDA 12.9.1 · cuDNN 9.24.0.43 · nginx 1.30.3 · njs 0.9.9
Highlights¶
- Initial release of the TensorFlow inference DLC on Amazon Linux 2023 and Python 3.12
- TensorFlow Serving 2.20.0 for SageMaker AI inference (CPU and GPU variants)
- CUDA 12.9.1 with cuDNN 9.24.0.43 on the GPU variant, with automatic CUDA forward compatibility on older host drivers
- nginx 1.30.3 with the njs 0.9.9 module fronting the model server on port 8080
- Multi-model endpoints supported (
SAGEMAKER_MULTI_MODEL=true), including per-modelinference.pyhandlers - Server-side batching, thread-pool sizing, and multiple model server processes configurable via
SAGEMAKER_TFS_*environment variables - The
tensorflowframework wheel, EFA, OpenMPI, and NCCL are intentionally excluded — only the TensorFlow Serving gRPC stubs ship (tensorflow-serving-api-gpuon GPU,tensorflow-serving-apion CPU), keeping the image small