About
AWS Deep Learning AMIs (DLAMI) provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning in the cloud. Built for Amazon Linux and Ubuntu, Amazon Machine Images (AMIs) come preconfigured with TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, allowing you to quickly deploy and run these frameworks and tools at scale. Develop advanced ML models at scale to develop autonomous vehicle (AV) technology safely by validating models with millions of supported virtual tests. Accelerate the installation and configuration of AWS instances, and speed up experimentation and evaluation with up-to-date frameworks and libraries, including Hugging Face Transformers. Use advanced analytics, ML, and deep learning capabilities to identify trends and make predictions from raw, disparate health data.
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About
DeepSpeed is an open source deep learning optimization library for PyTorch. It's designed to reduce computing power and memory use, and to train large distributed models with better parallelism on existing computer hardware. DeepSpeed is optimized for low latency, high throughput training.
DeepSpeed can train DL models with over a hundred billion parameters on the current generation of GPU clusters. It can also train up to 13 billion parameters in a single GPU.
DeepSpeed is developed by Microsoft and aims to offer distributed training for large-scale models. It's built on top of PyTorch, which specializes in data parallelism.
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About
Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.
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About
dbForge Data Compare for SQL Server is a specialized GUI-based tool designed to compare table data in SQL Server without the necessity to write code.
Key Features:
- Support for SQL Server tables, views, data in backups, data in script folders, SQL Azure Cloud, and custom queries
- Direct results viewing with full-text data search, easy navigation, sorting, and filtering
- Restoration of missing or damaged data down to a single row from native backups
- Data synchronization through wizards, allowing for deployment of selected or all changes
- Generation of data deployment scripts which can be executed directly or saved for recurring use
- Deployment to SQL Server databases, SQL Azure cloud databases, and SQL Server on Amazon RDS
- Automation of routine data comparison and synchronization tasks via a command-line interface
- Accelerate routine tasks with integrated AI Assistant
dbForge Data Compare integrates with SQL Server Management Studio, enhancing its d
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Deep Learning solution that helps developers quickly build scalable, secure deep learning applications
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Audience
Deep learning model developers
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Audience
Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment
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Audience
Database developers and administrators
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$219.95
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 2006
United States
aws.amazon.com/machine-learning/amis/
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Company InformationMicrosoft
Founded: 1975
United States
www.deepspeed.ai/
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Company InformationPyTorch
Founded: 2016
pytorch.org
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Company InformationDevart
Founded: 1997
United States of America
www.devart.com
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
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Integrations
Akira AI
Amazon EC2 Capacity Blocks for ML
Amazon SageMaker Model Training
Cirrascale
Database Mart
Dataoorts GPU Cloud
Exafunction
Fuzzball
Giskard
Groq
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Integrations
Akira AI
Amazon EC2 Capacity Blocks for ML
Amazon SageMaker Model Training
Cirrascale
Database Mart
Dataoorts GPU Cloud
Exafunction
Fuzzball
Giskard
Groq
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Integrations
Akira AI
Amazon EC2 Capacity Blocks for ML
Amazon SageMaker Model Training
Cirrascale
Database Mart
Dataoorts GPU Cloud
Exafunction
Fuzzball
Giskard
Groq
|
Integrations
Akira AI
Amazon EC2 Capacity Blocks for ML
Amazon SageMaker Model Training
Cirrascale
Database Mart
Dataoorts GPU Cloud
Exafunction
Fuzzball
Giskard
Groq
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