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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Fastly’s Compute@Edge platform empowers developers to create high-performance, globally distributed applications while seamlessly executing code at the edge, all without the burden of managing the infrastructure underneath. You can implement intricate logic for any application or backend service utilizing our efficient, secure, and scalable serverless computing model. With Compute@Edge, experience an astonishing 100x improvement in code execution startup times compared to other serverless options. Your code runs concurrently across numerous servers situated worldwide, eliminating issues like cold starts or roundtrip delays, ensuring a consistently fast computing experience. This approach prioritizes enhanced user experiences, a key aspect of digital transformation. You can effortlessly write, deploy, and test your code at the Fastly edge using a robust local development and debugging environment. Additionally, we take care of all the necessary components to ensure your application scales rapidly and globally, positioning it as close to your end users as possible. Ultimately, this enables you to focus on innovation while we handle the complexities of deployment and scaling.

Description

Produvia offers a serverless machine learning development service that streamlines the creation and deployment of machine learning models through advanced cloud infrastructure. By collaborating with Produvia, businesses can leverage this cutting-edge technology to innovate and implement their machine learning strategies effectively. Renowned Fortune 500 companies and Global 500 enterprises turn to Produvia for assistance in building and launching machine learning models utilizing contemporary cloud solutions. At Produvia, we harness the latest advancements in machine learning and deep learning to address various business challenges. Many organizations find themselves spending excessively on infrastructure, prompting a shift toward serverless architectures that help mitigate server-related expenses. The complexity of outdated servers and legacy systems often hampers progress, which has led modern companies to adopt machine learning technologies aimed at transforming their technology frameworks. While many businesses typically hire software developers to create traditional code, innovative organizations are now employing machine learning to produce software capable of generating code autonomously. As the landscape of technology evolves, the shift to automated software development is becoming increasingly prevalent.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Fastly Yes 
JavaScript Yes 
Terraform Yes 

Integrations

Fastly No 
JavaScript No 
Terraform No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$1,000 per month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Fastly

Founded

2011

Country

United States

Website

www.fastly.com/products/edge-compute

Vendor Details

Company Name

Produvia

Founded

2013

Country

Canada

Website

produvia.com

Product Features

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

Ray Reviews

Ray

Anyscale