More info on how we use it on AWS Firecracker is available on our blog post: https://blog.cloudkernels.net/posts/vaccel_v2/ and our github pages: https://github.com/cloudkernels/vaccelRT, https://github.com/nubificus/docker-jetson-inference
My best guess was something to do with making VMs run faster
in short vAccel is a framework that translates function calls from users (upper side of this diagram) to the relevant functions of the respective acceleration framework (lower side of the diagram). For instance, calling a function like image_classify (user function) would result in the respective image_classify of jetson-inference, which would, in turn, execute the image classification function on the GPU and return the result to the user.
hope that makes more sense!