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Description
ExecuTorch is an open-source framework developed for PyTorch, specifically designed to deploy AI and machine learning models directly onto edge devices, facilitating tasks such as text, vision, speech, recommendation, and multimodal inference without the need for cloud connectivity. This framework allows for the exportation of models from PyTorch without any need for intermediate conversion formats, effectively maintaining ATen operators and employing ahead-of-time compilation to enhance performance tailored to specific hardware prior to deployment. Developers benefit from a modular architecture that offers flexibility in selecting both compile-time and runtime optimizations, all within the well-known PyTorch environment, which includes torchao specifically for quantization. With a lightweight C++ runtime that occupies roughly 50 KB, ExecuTorch is versatile enough to operate on a variety of platforms, including smartphones, desktops, embedded systems, microcontrollers, DSPs, and Cortex-M processors. It is compatible with multiple operating systems such as Android, iOS, Linux, Windows, macOS, and WebAssembly, and offers native APIs in C++, Swift, Kotlin, and Objective-C. As a result, ExecuTorch provides developers with a powerful tool to streamline the deployment of AI models across diverse devices and applications.
Description
Keil® MDK stands out as the ultimate software development package for Arm®-based microcontrollers, encompassing all necessary elements for crafting, building, and troubleshooting embedded applications. The foundation of MDK-Core lies in µVision (exclusive to Windows), offering exceptional support for Cortex-M devices, especially with the introduction of the advanced Armv8-M architecture. Within MDK, users gain access to the Arm C/C++ Compiler, which is accompanied by an assembler, linker, and highly efficient run-time libraries designed for optimal code size and performance. Additionally, users can enhance MDK-Core at any moment by integrating Software Packs, allowing for seamless updates in device support and middleware that are independent of the toolchain. These packs consist of device support, CMSIS libraries, middleware, board support, code templates, and illustrative example projects. Furthermore, the integrated IPv4/IPv6 networking communication stack is augmented with Mbed™ TLS, facilitating secure online connections. This powerful tool is ideal for product evaluation, smaller projects, and educational purposes, although it does impose a restriction on code size to a maximum of 32 Kbytes, making it suitable for various embedded applications while still being resource-efficient.
API Access
Has API
API Access
Has API
Integrations
Atmel START
C++
Facebook
Instagram
Jtest
Kotlin
LLaVA
Llama 3.2
Objective-C
OpenAI Whisper
Integrations
Atmel START
C++
Facebook
Instagram
Jtest
Kotlin
LLaVA
Llama 3.2
Objective-C
OpenAI Whisper
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ExecuTorch
Country
United States
Website
executorch.ai/
Vendor Details
Company Name
Arm
Founded
2005
Country
United States
Website
www2.keil.com/mdk5