AWS Neuron

AWS Neuron

Amazon Web Services
python-sql

python-sql

Python Software Foundation
+

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About

It supports high-performance training on AWS Trainium-based Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances. For model deployment, it supports high-performance and low-latency inference on AWS Inferentia-based Amazon EC2 Inf1 instances and AWS Inferentia2-based Amazon EC2 Inf2 instances. With Neuron, you can use popular frameworks, such as TensorFlow and PyTorch, and optimally train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal code changes and without tie-in to vendor-specific solutions. AWS Neuron SDK, which supports Inferentia and Trainium accelerators, is natively integrated with PyTorch and TensorFlow. This integration ensures that you can continue using your existing workflows in these popular frameworks and get started with only a few lines of code changes. For distributed model training, the Neuron SDK supports libraries, such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP).

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.

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations in need of an SDK solution with a compiler, runtime, and profiling tools that unlocks high-performance and cost-effective deep learning acceleration

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

Audience

Developers searching for a solution offering a library to write SQL queries

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 1.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon Web Services
Founded: 2006
United States
aws.amazon.com/machine-learning/neuron/

Company Information

PyTorch
Founded: 2016
pytorch.org

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

Alternatives

Alternatives

Alternatives

Core ML

Core ML

Apple
Create ML

Create ML

Apple
MXNet

MXNet

The Apache Software Foundation
warcat

warcat

Python Software Foundation

Categories

Categories

Categories

Integrations

AWS Deep Learning AMIs
Activeeon ProActive
Alibaba Cloud
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon S3 Express One Zone
Amazon SageMaker
Database Mart
EasyODM
Exafunction
FakeYou
Flyte
Fuzzball
Gemma 2
Google Cloud Platform
LiteRT
Python
ZenML
Zepl
spaCy

Integrations

AWS Deep Learning AMIs
Activeeon ProActive
Alibaba Cloud
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon S3 Express One Zone
Amazon SageMaker
Database Mart
EasyODM
Exafunction
FakeYou
Flyte
Fuzzball
Gemma 2
Google Cloud Platform
LiteRT
Python
ZenML
Zepl
spaCy

Integrations

AWS Deep Learning AMIs
Activeeon ProActive
Alibaba Cloud
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon S3 Express One Zone
Amazon SageMaker
Database Mart
EasyODM
Exafunction
FakeYou
Flyte
Fuzzball
Gemma 2
Google Cloud Platform
LiteRT
Python
ZenML
Zepl
spaCy
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