Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.
From a developer's perspective, I find the price of this solution high.
The licensing cost is very cheap. It's less than $50 a month.
From a developer's perspective, I find the price of this solution high.
The licensing cost is very cheap. It's less than $50 a month.
Build, deploy, and scale ML models faster, with pre-trained and custom tooling within a unified artificial intelligence platform.
The price structure is very clear
The solution's pricing is moderate.
The price structure is very clear
The solution's pricing is moderate.
The AI community building the future. Build, train and deploy state of the art models powered by the reference open source in machine learning.
I recall seeing a fee of nine dollars, and there's also an enterprise option priced at twenty dollars per month.
So, it's requires expensive machines to open services or open LLM models.
I recall seeing a fee of nine dollars, and there's also an enterprise option priced at twenty dollars per month.
So, it's requires expensive machines to open services or open LLM models.
TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.
TensorFlow is free.
We are using the free version.
TensorFlow is free.
We are using the free version.
Google AI Platform is a managed service that enables you to easily build machine learning models, that work on any type of data, of any size. Create your model with the powerful TensorFlow framework that powers many Google products, from Google Photos to Google Cloud Speech.
The price of the solution is competitive.
For every thousand uses, it is about four and a half euros.
The price of the solution is competitive.
For every thousand uses, it is about four and a half euros.
OpenVINO toolkit quickly deploys applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends computer vision (CV) workloads across Intel hardware, maximizing performance. The OpenVINO toolkit includes the Deep Learning Deployment Toolkit (DLDT).
We didn't have to pay for any licensing with Intel OpenVINO. Everything is available on their site and easily downloadable for free.
We didn't have to pay for any licensing with Intel OpenVINO. Everything is available on their site and easily downloadable for free.
IBM Watson Machine Learning helps data scientists and developers accelerate AI and machine-learning deployment. With its open, extensible model operation, Watson Machine Learning helps businesses simplify and harness AI at scale across any cloud.
The pricing model is good.
I've only been using the free tier, but it's quite competitive on a service basis.
The pricing model is good.
I've only been using the free tier, but it's quite competitive on a service basis.
Apache MXNet is a lean, flexible, and ultra-scalable deep learning framework that supports state of the art in deep learning models, including convolutional neural networks (CNNs) and long short-term memory networks (LSTMs).
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors.
