Cloud and Edge Deployment
By offering complete services in DevOps engineering and deployment on edge platforms, we handle each step of your model deployment needs. We make sure this crucial step is handled in a scalable manner such that optimized performance is not compromised.
We use the latest technology stack.
Our practical experience with cloud technologies including GCP, AWS, and Lambda servers, along with edge devices such as NVIDIA Triton Servers, Intel Embedded and Arduino STM, allows us the ability to deploy your machine learning models on all platforms.
Continuous support
Model deployment is an integral part of the machine learning pipeline where optimized performance is key. With vast experience in creating dockerized solutions as well as networking frameworks such as gRPC and ZMQ, we make sure deployment is a smooth process for our clients. Moreover, we also offer server monitoring services through interactive dashboard applications such as Grafana to make sure server health can be observed and verified.
01 - Consultation
02 - Training
03 - Workflow Customization
04 - Monitoring & Analytics
05 - Feedback
Flexible Engagement
Get custom quotes for your needs that fit your project timelines and requirements
Scalability
No need to worry about scaling requirements. Go from thousands to million images processed with ease
Standards & Compliance
We have put all practices and quality checks in place to comply with the latest data handling and security standards.
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Our customers are our biggest fans
Hear from the clients we have worked with
Heraeus Consulting & IT Solutions GmbH
Germany
Professor at University of Southampton
United Kingdom
Canada