Best MLOps Platforms - Page 5
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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- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Mission-ready, cost-effective, high-efficiency deployment platforms for AI applications moving out to the edge.
- 67% Enterprise
- 33% Small-Business
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Datatron provides an enterprise-grade, cloud-native and on-prem Reliable AI™ platform that enables businesses with a large and diverse data science organization, including retailers, financial institu
- 67% Enterprise
- 33% Mid-Market
161 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Take Control of AI with Deeploy Deeploy adds the missing governance layer to your AI stack, so you can scale with confidence. Whether your models are hosted externally or still in development, Dee
- 100% Small-Business
14 Twitter followers
- Overview
- User Satisfaction
- Seller Details
IBM Spectrum Conductor Deep Learning Impact is add-on software to IBM Spectrum Conductor. It enables you to build a deep learning environment that allows data scientists to focus on training, tuning a
- 50% Enterprise
- 25% Mid-Market
709,117 Twitter followers
- Overview
- User Satisfaction
- Seller Details
An open-source tool and a format for reproducibility and experimentation.
- 67% Mid-Market
- 33% Enterprise
544 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Neuromation is a Synthetic Data space building an AI Developer platform to build better models.
- 33% Enterprise
- 33% Mid-Market
4,461 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Accelerating results of Data Science and ML teams Why NimbleBox - Easy experimentation - Simple API deployment - Automated workflows - Team management
- 100% Small-Business
453 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
PrimeHub is a on-premise machine learning platform that enables AI/ML teams to focus on their true productivity in a collaborative environment. PrimeHub helps administrators manage hardware resources,
- 67% Small-Business
- 33% Enterprise
- Overview
- User Satisfaction
- Seller Details
Superb AI provides the most advanced computer vision platform that makes data preparation, curation and model deployment faster and easier than ever before. Specializing in adaptable automation for la
- 50% Mid-Market
- 50% Small-Business
425 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Unify is the central platform for optimized LLM deployment. With a single API key and unified prompting syntax, Unify lets you call and benchmark all third-party LLM endpoint providers; find the endp
- 67% Small-Business
- 33% Enterprise
2,909 Twitter followers
- Overview
- User Satisfaction
- Seller Details
Abzu was born from a desire to challenge the fundamental assumptions of contemporary AI, believing that the future of AI lies in the more lifelike simulation of self-organizing systems. If it’s AI, it
- 50% Enterprise
- 50% Mid-Market
- Overview
- User Satisfaction
- Seller Details
Arthur is the AI performance company. We help data scientists, product owners, and business leaders accelerate tabular, NLP and computer vision model operations to optimize for accuracy, explainabi
- 50% Small-Business
- 50% Mid-Market
2,178 Twitter followers
- Overview
- Pros and Cons
- User Satisfaction
- Seller Details
Blox.ai is the world's first general-purpose AI platform that powers applications across workflows delivering value, unlike any other point solution. With its proprietary AI-enabled architecture, Blox
- 100% Small-Business
- Overview
- User Satisfaction
- Seller Details
CoreWeave is a modern cloud infrastructure empowering creators, innovators, and tomorrow's world changers with access to the GPU resources they need to work more efficiently.
- 50% Enterprise
- 50% Small-Business
16,475 Twitter followers
- Overview
- User Satisfaction
- Seller Details
dunnhumby Model Lab is an application that provides automated pipelines for deploying machine learning algorithms. When developing models, data scientists go through many steps that are often repeti
- 50% Enterprise
- 50% Mid-Market
9,547 Twitter followers
