Fully Automated AI/ML Infrastructure and
AWS Sagemaker with 80% less cost
Build Machine Learning Infrastructure Where You Want
Machine learning infrastructure is the key requirement for any AI/ML project in a company. We simplify task to bring an easy to build and consume infrastructure for AI/ML workloads
Bring Your Own GPUs Instead of renting
expensive GPU servers in the cloud, and use
those to run AI modeling or inference.
This gives you choice and control at significantly lower cost.
Built in App Store with Best
of Breed AI/ML Apps
There is a built in App store with dozens of AI/ML tools listed in there. We have automated the
deployment and stitching together of these tools to build various workflows and pipelines as needed.
These include automation of object detection, data labeling, NLP, recommendation systems and others.
Simplify Building and Operating Machine Learning Infrastructure
Instead of trying to stitch all the pieces together, we provide an end-to-end AI/ML infrastructure, where you can simply start by running your pipelines. You can simply give access to your AI/ML engineers and have them operate in a self-service manner.
Build Hybrid AI/ML pipelines using
Edge cloud and Public Cloud
We provide a unique model where you can offload expensive stage of the pipeline that do the training, to on-premises infrastructure. However, you can continue to consume some resources in the cloud if needed.
Built-in Object Store for Your Data
We provide a built-in object store in Edgebricks cloud to store this data and run training jobs on the servers with very fast access to data on the same LAN. No need to pay high data storage or access costs in the cloud.
Built-in AI/ML Pipeline Templates
We provide built-in templates to get started. Your team can quickly see how to train YOLO based object detection models. These templates can also be customized to fit your needs.
Based on number of hosts under management.
Roughly 80% lower than Sagemaker.