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Description

Azure RTOS serves as a comprehensive suite for embedded development, featuring a compact yet powerful operating system that delivers reliable and ultra-fast performance tailored for devices with limited resources. Its user-friendly design and proven market success are evident, with deployment figures exceeding 10 billion devices globally. This operating system is compatible with the leading 32-bit microcontrollers and embedded development platforms, allowing teams to leverage their existing expertise effectively. With Azure RTOS, developers can seamlessly integrate cloud and local network connectivity, create robust flash file systems, and craft sophisticated user interfaces. Additionally, the code adheres to rigorous industry safety and security standards, ensuring its reliability. Clean and straightforward code not only enhances usability and maintenance but also contributes to a reduced total cost of ownership. Furthermore, achieving most safety-related certifications necessitates the submission of the entire source code for the software, including components of the RTOS, which underscores the importance of transparency in development processes. Each of these features collectively enhances the overall effectiveness of the development lifecycle.

Description

Phi-4-mini-flash-reasoning is a 3.8 billion-parameter model that is part of Microsoft's Phi series, specifically designed for edge, mobile, and other environments with constrained resources where processing power, memory, and speed are limited. This innovative model features the SambaY hybrid decoder architecture, integrating Gated Memory Units (GMUs) with Mamba state-space and sliding-window attention layers, achieving up to ten times the throughput and a latency reduction of 2 to 3 times compared to its earlier versions without compromising on its ability to perform complex mathematical and logical reasoning. With a support for a context length of 64K tokens and being fine-tuned on high-quality synthetic datasets, it is particularly adept at handling long-context retrieval, reasoning tasks, and real-time inference, all manageable on a single GPU. Available through platforms such as Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, Phi-4-mini-flash-reasoning empowers developers to create applications that are not only fast but also scalable and capable of intensive logical processing. This accessibility allows a broader range of developers to leverage its capabilities for innovative solutions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure AI Foundry
Azure AI Foundry Agent Service
Hugging Face
Microsoft 365 Copilot
NVIDIA DRIVE

Integrations

Azure AI Foundry
Azure AI Foundry Agent Service
Hugging Face
Microsoft 365 Copilot
NVIDIA DRIVE

Pricing Details

No price information available.
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

Microsoft

Founded

1975

Country

United States

Website

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

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/blog/reasoning-reimagined-introducing-phi-4-mini-flash-reasoning/

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