Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

Write a Review

Description

Harness the power of your data and create innovative artificial intelligence (AI) solutions using Azure Databricks, where you can establish your Apache Spark™ environment in just minutes, enable autoscaling, and engage in collaborative projects within a dynamic workspace. This platform accommodates multiple programming languages such as Python, Scala, R, Java, and SQL, along with popular data science frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. With Azure Databricks, you can access the most current versions of Apache Spark and effortlessly connect with various open-source libraries. You can quickly launch clusters and develop applications in a fully managed Apache Spark setting, benefiting from Azure's expansive scale and availability. The clusters are automatically established, optimized, and adjusted to guarantee reliability and performance, eliminating the need for constant oversight. Additionally, leveraging autoscaling and auto-termination features can significantly enhance your total cost of ownership (TCO), making it an efficient choice for data analysis and AI development. This powerful combination of tools and resources empowers teams to innovate and accelerate their projects like never before.

Description

Google AI Edge presents an extensive range of tools and frameworks aimed at simplifying the integration of artificial intelligence into mobile, web, and embedded applications. By facilitating on-device processing, it minimizes latency, supports offline capabilities, and keeps data secure and local. Its cross-platform compatibility ensures that the same AI model can operate smoothly across various embedded systems. Additionally, it boasts multi-framework support, accommodating models developed in JAX, Keras, PyTorch, and TensorFlow. Essential features include low-code APIs through MediaPipe for standard AI tasks, which enable rapid incorporation of generative AI, as well as functionalities for vision, text, and audio processing. Users can visualize their model's evolution through conversion and quantification processes, while also overlaying results to diagnose performance issues. The platform encourages exploration, debugging, and comparison of models in a visual format, allowing for easier identification of critical hotspots. Furthermore, it enables users to view both comparative and numerical performance metrics, enhancing the debugging process and improving overall model optimization. This powerful combination of features positions Google AI Edge as a pivotal resource for developers aiming to leverage AI in their applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure Confidential Computing Yes 
Captain Compliance Yes 
Chalk Yes 
Dagster Yes 
Data Commerce Cloud Yes 
Datafold Yes 
Datagaps ETL Validator Yes 
EPIC Yes 
Evvox Yes 
Google AI Edge Eloquent No 
Harbr Yes 
Horovod Yes 
Kedro Yes 
Keras No 
LOGIQ Yes 
Mage Sensitive Data Discovery Yes 
Medical LLM Yes 
Nucleon Database Master Yes 
QueryPie Yes 
The Asset Guardian EAM (TAG) Yes 

Integrations

Azure Confidential Computing No 
Captain Compliance No 
Chalk No 
Dagster No 
Data Commerce Cloud No 
Datafold No 
Datagaps ETL Validator No 
EPIC No 
Evvox No 
Google AI Edge Eloquent Yes 
Harbr No 
Horovod No 
Kedro No 
Keras Yes 
LOGIQ No 
Mage Sensitive Data Discovery No 
Medical LLM No 
Nucleon Database Master No 
QueryPie No 
The Asset Guardian EAM (TAG) No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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 Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/databricks/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

ai.google.dev/edge

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Alternatives

Alternatives

Keras Reviews

Keras

5.0 out of 5 stars
TensorFlow Reviews

TensorFlow

5.0 out of 5 stars
TimeXtender Reviews

TimeXtender

4.0 out of 5 stars