We offer a serverless development service for building and deploying machine learning models into production. We develop machine learning models and deploy them using serverless architectures.
What is serverless?
Serverless allows you to focus on code, not managing servers.
A serverless service is a combination of Function as a Service (FaaS) and Backend as a Service (BaaS). Serverless
Serverless architectures are built by removing the database from the server and running individual services and functions on demand. These are then hosted by a Function as a Service (FaaS) platform such as Amazon Web Services (AWS) Lambda, Google Cloud Functions, IBM OpenWhisk or Microsoft Azure Functions.
The Future is Serverless Machine Learning
Software is eating the world. Unfortunately, most businesses still can't deliver software successfully, much less do so at the pace needed to stay competitive. Modern companies must develop and deploy software using the latest cloud technologies.
Modern companies must run software on cloud services that auto-scale and charge only when used. When server management is automated, software becomes easier to build and maintain. Serverless architectures are 10 to 100 times cheaper than serverful counterparts.
Serverless architectures are new. Amazon introduced Amazon Web Services (AWS) Lambda in 2014 and later Google Cloud Functions, Microsoft Azure Functions and IBM OpenWhisk in 2016.
Serverless computing requires a shift in how we think about cloud architectures and development workflows.
Machine learning has proven to transform traditional data-driven companies into modern AI-driven organizations.
At Produvia, our goal is to give individuals, teams, and organizations the tools they need to build and operate serverless machine learning applications.
What are the benefits of serverless?
Serverless architectures have three major benefits
No Server Management
There is no need to provision and manage servers. There is no software or runtime to install, maintain, or administer. Serverless allows individuals and companies focus on code while minimizing operational overhead.
With serverless, your machine learning model can scale automatically. When your app or model goes viral, there is no need to wake up at 3 AM just to increase server capacity. Serverless allows you to focus on creating business value, not managing servers.
With FaaS, DevOps is less relevant as deployments take place within the FaaS framework. There is no need for DevOps to write scripts or do anything manually. Serverless allows individuals and companies to focus on code. Everything else is handled by functions and platforms, drastically reducing overhead and operational cost when compared to serverful computing (i.e. virtual machines).
Ready to start?
Tell us about your project and a member of our team will get back to you.