Add NVIDIA vLLM image and ModelHub release workflow

README.md

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+# Step-3.5-Flash NVIDIA inference image
+
+Rebuilds the text-inference environment validated on seven NVIDIA H800 GPUs:
+vLLM 0.25.0, CUDA 12.9, BF16, tensor parallelism 1 and pipeline parallelism 7.
+
+TorchCodec is removed because the original image fails to import it with a
+missing `libnvrtc.so.13` dependency. The build verifies the API server import.
+Model weights are not included. Mount them and supply serving arguments at runtime.
+
+## ModelHub release
+
+The workflow is copied from https://dev.modelhub.org.cn/4pdadmin/cicd_demo.
+Push a new `v*` Git tag to trigger image build, push, and review submission.
+The runner supplies `DOCKER_REGISTRY`, `DOCKER_USERNAME`, `DOCKER_PASSWORD`,
+and `FIXED_TOKEN`. It must be able to pull the Harbor base image.
+ModelHub validates `GPU_TYPE="NVIDIA H800"` and `TASK_TYPE=text-generation`
+before building. Approval is required before selecting the image for evaluation.
+
+The image inherits its base image's entrypoint; the validated deployment overrides
+it with `python3 -m vllm.entrypoints.openai.api_server`. Docker run options and
+host model paths are not embedded into this image.