DEV Community: Raymond Vargas

Deploy, Run, and Monitor ML/AI models for free using Modzy Basic+

Raymond Vargas — Wed, 22 Jun 2022 17:13:24 +0000

Using Modzy Basic+, it’s possible to deploy, run, integrate, and monitor up to five ML/AI models at scale, for free.

Organizations everywhere are investing heavily in data science tools and talent. But research shows that more than half of models developed never make it into production, and what’s more, it can take up to nine months to integrate these models into systems at scale. We knew there had to be an easier way to accelerate the time to value from ML/AI, so that’s why we created Modzy Basic+.

With Modzy Basic+, users gain access to enterprise-grade MLOps & ModelOps functionality, without the price. It’s now easier than ever to integrate ML/AI models into production applications and manage their lifecycle over time. Users can deploy up to five of their own models from 15+ training tools and frameworks as long as they can run on a CPU and 4GB of RAM. From there, models can be easily integrated into web apps, mobile apps, pipelines or any other tool using our APIs and SDKs, and users can run up to 10,000 inferences per day.

Modzy Basic+ is a gamechanger for data scientists, ML engineers, and developers who need an MLOps & ModelOps platform, and are looking to accelerate the time to production AI. With our documentation and tutorials, it’s easy to get up and running in a matter of minutes. To learn how you can get started with Modzy Basic+, be sure to tune into our Discord server on Thursday, June 23 at 12:30PM EDT. To get started for free today, check out the resources below:
• Getting started guide & docs
• Deploying models to Modzy
• SDKs

Chassis.ml: Automatically Build ML Models into Containers

Raymond Vargas — Wed, 27 Apr 2022 18:01:50 +0000

We’re so excited to share that you can now sign up to use a free, hosted instance of the Chassis.ml service, sponsored by Modzy and Google Cloud. Chassis can be used to automatically containerize your ML and AI models for production deployment. Chassis can be used to automatically containerize your ML and AI models for production deployment.

Chassis is an open-source solution that converts models from multiple training tools and frameworks into Open Model Interface (OMI) compatible containers to run anywhere. By implementing OMI and Chassis.ml, data scientists and developers gain a standard container specification allowing interoperability, portability, and security for models to seamlessly be integrated into production applications.

The Challenge

With the diversity in model training tools and frameworks, as well as fast evolving nature of the tech, there was previously no standard way to containerize models built from different tools, nor was there a way to make containers compatible with different runtime engines. This led to significant fragmentation, longer deployment times, and reduced model portability, and is a contributing factor to the estimated 50-90 percent of AI models that never move into production applications.

Chassis

Chassis allows you to turn models into containerized applications without having to learn dozens of new technologies. Chassis converts models from all training tools and frameworks to OMI compliant containers to run in a number of different types of AI runtime platforms. Chassis can be integrated into existing MLOps pipelines, making it possible for models to be automatically containerized, scanned, and deployed to a secure container registry.

To start using Chassis, sign up today. For more information, tune into a tech talk on Thursday April 28 at 12:30PM EST in the Modzy Discord Server.

Introducing Modzy's AI Hackathon

Raymond Vargas — Fri, 15 Oct 2021 23:05:39 +0000

Hi Everyone!
My name is Ray and I'm the lead software architect over at Modzy. I'm excited to share that we have kicked off our Modzy AI Hackathon!

What is Modzy?

Created by developers for developers, Modzy is an MLOps platform for data scientists and developers to deploy, integrate, run and monitor AI models at scale.

We have written Modzy as an API-first product, and provide extensive documentation for developers to familiarize themselves with Modzy's capabilities.

For further ease of use and integration, we've released a number of open source SDKs in Java, Python, JavaScript, and Go, and certainly welcome any and all contributions that may arise through their use in the competition.

The Hackathon

The competition runs through December 1, 2021. Hack together the best AI-powered app, bot, integration, library, or other solution using Modzy’s APIs and SDKs, and you could win a piece of the $25K prize pool, a chance to meet with our judges, and more! Submissions will be judged on the technical implementation, use of Modzy, potential value, and quality of the idea. Join the Modzy community and put your development skills to the test by registering here. Good luck, and we look forward to seeing what you build!