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What is SiMa?

SiMa offers a state-of-the-art, software-centric embedded edge machine learning system-on-chip (MLSoC) platform designed to deliver efficient and high-performance AI solutions across a variety of applications. This MLSoC expertly integrates multiple modalities, including text, images, audio, video, and haptic feedback, enabling it to perform complex ML inferences and produce outputs in any of these formats. It supports a wide range of frameworks, such as TensorFlow, PyTorch, and ONNX, and can compile over 250 diverse models, guaranteeing users a seamless experience coupled with outstanding performance-per-watt results. Beyond its sophisticated hardware, SiMa.ai is engineered for the comprehensive development of machine learning stack applications, accommodating any ML workflow that clients wish to deploy at the edge while ensuring both high performance and ease of use. Additionally, Palette's built-in ML compiler enables the platform to accept models from any neural network framework, significantly enhancing its adaptability and versatility to meet user requirements. This impressive amalgamation of features firmly establishes SiMa as a frontrunner in the ever-evolving realm of edge AI, ensuring customers have the tools they need to innovate and excel. With its robust capabilities, SiMa is poised to redefine the standards of performance and efficiency in AI-driven applications.

What is LiteRT?

LiteRT, which was formerly called TensorFlow Lite, is a sophisticated runtime created by Google that delivers enhanced performance for artificial intelligence on various devices. This innovative platform allows developers to effortlessly deploy machine learning models across numerous devices and microcontrollers. It supports models from leading frameworks such as TensorFlow, PyTorch, and JAX, converting them into the FlatBuffers format (.tflite) to ensure optimal inference efficiency. Among its key features are low latency, enhanced privacy through local data processing, compact model and binary sizes, and effective power management strategies. Additionally, LiteRT offers SDKs in a variety of programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating easier integration into diverse applications. To boost performance on compatible devices, the runtime employs hardware acceleration through delegates like GPU and iOS Core ML. The anticipated LiteRT Next, currently in its alpha phase, is set to introduce a new suite of APIs aimed at simplifying on-device hardware acceleration, pushing the limits of mobile AI even further. With these forthcoming enhancements, developers can look forward to improved integration and significant performance gains in their applications, thereby revolutionizing how AI is implemented on mobile platforms.

Media

Media

Integrations Supported

PyTorch
TensorFlow
Bloomberg
C++
Google AI Edge Gallery
JAX
Java
Kotlin
ONNX
Objective-C
Python
Swift

Integrations Supported

PyTorch
TensorFlow
Bloomberg
C++
Google AI Edge Gallery
JAX
Java
Kotlin
ONNX
Objective-C
Python
Swift

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SiMa

Company Location

United States

Company Website

sima.ai/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

ai.google.dev/edge/litert

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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