Best MLOps Platforms - Page 15
Machine learning operationalization (MLOps) platforms allow users to manage and monitor machine learning models as they are integrated into business applications. In addition, many of these tools facilitate the deployment of these models. With these tools, businesses can implement machine learning models and algorithms built by data scientists and developers. MLOps software automates deployment, monitors models' health, performance, and accuracy, and iterates on those models. Some tools provide features for doing this collaboratively. This enables businesses to scale machine learning across the company and make a tangible business impact.
Additionally, these products may provide security, provisioning, and governing capabilities to ensure that only those authorized to make version changes or deployment adjustments can do so. The tools can differ regarding what part of the machine learning journey or workflow they focus on, including explainability, hyper optimization, feature engineering, model risk, model selection, model monitoring, and experiment tracking.
These tools are usually language agnostic, so they can be successfully deployed no matter how an algorithm is built. However, some may focus specifically on languages like R or Python, among others. Some of these products are dedicated to tracking machine learning experiments to better understand the performance of models. In addition, some products provide the ability to augment users’ training datasets in order to improve model training.
Some MLOps solutions offer a way to manage all machine learning models across the entire business in a single location. Although similar to data science and machine learning platforms, this software differs since it focuses on the maintenance and monitoring of models instead of deployment.
To qualify for inclusion in the MLOps Platforms category, a product must:
Best MLOps Platforms At A Glance
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TruEra Monitoring helps you easily track and troubleshoot machine learning model performance. With unique explainability and model quality analytics, TruEra Monitoring goes beyond basic observability
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TuplOS is an MLOps platform that was first implemented in the Telco industry, though it has already been successfully used in other industries such as Smart Agriculture or Smart Manufacturing.TuplOS®
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Turbo0 is a comprehensive platform designed to streamline and enhance the efficiency of software development and deployment processes. It offers a suite of tools that facilitate continuous integration
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Unweave is an open-source platform designed to streamline the development of machine learning (ML) environments by providing developers with instant access to serverless infrastructure. It enables use
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Mosaic is a comprehensive resource management and project planning software designed to enhance team productivity and project efficiency. It offers a suite of tools that enable organizations to effect
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Velvet was an AI gateway designed to help engineers analyze, evaluate, and monitor AI-powered features in production environments. By acting as a proxy, Velvet warehoused every request from AI models
4,202 Twitter followers
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Our software platform gives every team the ability to validate, monitor, and secure their AI. CalypsoAI’s Vespr is an integrated model accreditation and model risk management system (MRM) used to de
171,246 Twitter followers
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VESSL is an end-to-end ML/ MLOps platform that enables machine learning engineers (MLEs) to customize and execute scalable training, optimization, and inference tasks in seconds. These individual task
91 Twitter followers
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WatchTower is a comprehensive security platform designed to enhance the safety and efficiency of organizations by providing real-time monitoring, threat detection, and incident response capabilities.
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Weco is an AI-driven platform designed to automate and optimize machine learning (ML) experiments, enabling engineers to enhance their workflows efficiently. By leveraging large language models (LLMs)
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WoolyAI is a hardware-agnostic hypervisor designed to optimize machine learning (ML) infrastructure by enabling seamless execution of unmodified PyTorch and CUDA applications across heterogeneous GPU
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ZenML is an open-source MLOps framework that helps data teams deploy their machine learning pipelines. It abstracts the infrastructure complexity of MLOps without locking ML Engineers into any vendor.
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ZetaForge is an open-source AI platform designed to streamline the development and deployment of complex AI solutions. It enables users to rapidly assemble reusable, customizable, and containerized Bl
