  This paper analyzes the shortcomings of unikernels as a method of deployment
for machine learning inferencing applications as well as provides insights and
analysis on future work in this space. The findings of this paper advocate for
a tool to enable management of dependent libraries in a unikernel to enable a
more ergonomic build process as well as take advantage of the inherent security
and performance benefits of unikernels.
