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Shadeform

Shadeform

#160in Text & Language Models
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OverviewDiscussions

What is Shadeform?

It has a unified, easy-to-use API and platform to access and deploy GPU workloads to any provider. It guarantees inference and training jobs will run on time at optimal cost.

Shadeform is a tool in the Text & Language Models category of a tech stack.

Key Features

One click deployment, any cloudChoose from an A10 to H100s for training and inferenceBe running in minutesNo setup required

Shadeform Pros & Cons

Pros of Shadeform

No pros listed yet.

Cons of Shadeform

No cons listed yet.

Shadeform Alternatives & Comparisons

What are some alternatives to Shadeform?

Amazon SageMaker

Amazon SageMaker

A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.

Azure Machine Learning

Azure Machine Learning

Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

Amazon Machine Learning

Amazon Machine Learning

This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.

Algorithms.io

Algorithms.io

Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables

Replicate

Replicate

It lets you run machine learning models with a few lines of code, without needing to understand how machine learning works.

Google AI Platform

Google AI Platform

Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.

Shadeform Integrations

Google Cloud Platform, Paperspace, Scaleway, Amazon Web Services (AWS), Vultr are some of the popular tools that integrate with Shadeform. Here's a list of all 5 tools that integrate with Shadeform.

Google Cloud Platform
Google Cloud Platform
Paperspace
Paperspace
Scaleway
Scaleway
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Vultr
Vultr

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