Launch: Updated Roboflow Inference Server

The Roboflow Inference Server is a newly launched Docker-based application designed to simplify the deployment of custom computer vision models, addressing the challenges of inference deployment. It allows models to be deployed either locally or via hosted endpoints, providing flexibility in switching between different deployment environments such as online, offline, edge, and various hardware platforms like Jetson and Raspberry Pi without altering code. The server supports custom-trained models for tasks like object detection and instance segmentation, along with auxiliary models like OpenAI's CLIP, which can process images and language for tasks such as image search. Users can deploy the inference server on CPUs or GPUs, including specialized edge devices, offering optimized performance through different Docker images. The server's common API facilitates seamless transitions between local and hosted deployments, and its open-source aspirations aim to further engage the computer vision community.