Azure Machine Learning Studio
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Cloud GPUs
- Jupyter Notebooks
- Framework Support
- Version Control
- Parameter Sweeping
- Public & Private Datasets
- Trained Models Deployment
- Tensorboard
Pricing Info
Pricing Info
FloydHub offers three SMB and enterprise pricing packages for users to choose from. Give the details a look, and select the best plan for your business.
Beginner – $0
- Unlimited Public Projects & Datasets
- 1 Concurrent Job
- 10 GB Storage
Data Scientist – $9/month
- Unlimited Public Projects & Datasets
- Unlimited Private Projects & Datasets
- Up to 8 Concurrent Jobs
- 100 GB Storage
Teams – $69/month/user
- Unlimited Public Projects & Datasets
- Unlimited Private Projects & Datasets
- Custom Concurrency
- Custom Storage
Integrations
Integrations
FloydHub provides access to its API, which users can use to customize and deploy their models.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A cloud-based platform for the creation of intelligent deep learning models.
Company Email
contact@floydhub.com
Company's Address
FloydHub
1446 Market Street
San Francisco, CA 94102
USA
FloydHub Comparisons
Popular FloydHub Alternatives

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Pricing:
Starting from $9.99
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Drag-and-Drop Function
- Projects
- Notebooks
- Datasets
- Modules
- Trained Models
- Experiments
- Experiment Conversion
- Web Service Publishing
- Cortana Intelligence Suite
- Cortana Intelligence Gallery
- APIs
Pricing Info
Azure Machine Learning Studio offers the following enterprise pricing packages for users to choose from. Give the details a look, and select the best plan for your business.
Free – $0
- 100 Modules per Experiment
- 1 Hour per Experiment
- 10 GB Storage Space
- Single Node Execution/Performance
Standard – $9.99/seat/month
- $1 per Studio Experimentation Hour
- Unlimited Modules per Experiment
- Up to 7 Days per Experiment, 24 Hours per Module
- Unlimited – BYO Storage Space
- On-Premises SQL Data Processing
- Multiple Nodes Execution/Performance
- Production Web API
- SLA
Integrations
Azure Machine Learning Studio offers APIs for developers’ use. For more information, contact support or get in touch with the community.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Mendeley, Rockwell Automation, Stanford’s SLAC National Accelerator Laboratory
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A cloud-based interactive programming tool for predictive analytics from Microsoft. Azure Machine Learning Studio offers access to Cortana Intelligence Suite and gallery, AI algorithm library, and more. Its easy to use interface utilizes drag and drop actions. Despite being cloud-based, this machine learning solution provides offline access to its users.
Company Email
Contact No.
Company's Address
Microsoft Azure
1 Microsoft Way
Redmond, WA 98052
USA
Azure Machine Learning Studio Comparisons
Popular Azure Machine Learning Studio Alternatives
No AI Software will be perfect enough to cover all the needs of a specific team. Though core features of FloydHub and Azure Machine Learning Studio are obviously a priority you should also carefully explore the integrations offered by each solution. In many cases your team will already be making use of some other B2B software in your company and it’s definitely wiser to go with solutions that integrate well with each other. That way you can be certain of a reliable transfer of data between your teams and software used, which can significantly reduce time devoted to migrating between one software and the next.
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