OctoML announced the release of its machine learning (ML) deployment platform, a solution designed to enable organizations to automate and scale deploying ML models to hardware and cloud infrastructure.
to deploy models to cloud services and hardware infrastructure, including AWS, Microsoft Azure, Google Cloud Platform, NVIDIA GPUs, Intel CPUs, AMD CPUS, and edge platforms.
The ML platform is an edge AI optimization solution, a category of solutions designed to optimize the performance of AI solutions at the network’s edge with automated deployment so engineers need not to spend hours on administration and manual optimization. decision-makers can generate insights faster through this automated model.
Read More: venturebeat