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What is Phi-4-mini-flash-reasoning?

The Phi-4-mini-flash-reasoning model, boasting 3.8 billion parameters, is a key part of Microsoft's Phi series, tailored for environments with limited processing capabilities such as edge and mobile platforms. Its state-of-the-art SambaY hybrid decoder architecture combines Gated Memory Units (GMUs) with Mamba state-space and sliding-window attention layers, resulting in performance improvements that are up to ten times faster and decreasing latency by two to three times compared to previous iterations, while still excelling in complex reasoning tasks. Designed to support a context length of 64K tokens and fine-tuned on high-quality synthetic datasets, this model is particularly effective for long-context retrieval and real-time inference, making it efficient enough to run on a single GPU. Accessible via platforms like Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, Phi-4-mini-flash-reasoning presents developers with the tools to build applications that are both rapid and highly scalable, capable of performing intensive logical processing. This extensive availability encourages a diverse group of developers to utilize its advanced features, paving the way for creative and innovative application development in various fields.

What is Avassa?

The Avassa Edge Platform serves as a specialized application management and operational system tailored for resource-constrained environments, such as retail settings, manufacturing plants, vehicles, and various remote locations. Its key features include: • Automated deployment and updates of applications across multiple edge sites • Effortless onboarding of hosts and upgrades to operating systems without the need for manual effort • Immediate visibility and health monitoring for all connected sites • Capability to operate independently at each location, ensuring applications remain functional even during offline periods • Enhanced multi-tenancy with cryptographic separation to maintain security between different tenants and locations • Support for containerized workloads, virtual machines, and Edge AI applications Founded in 2020 and headquartered in Stockholm, Sweden, Avassa meets the demands of enterprises looking to leverage the advantages of cloud-native practices in environments where bandwidth is limited, latency is crucial, and offline capabilities may be required. This pioneering platform is recognized for its capacity to effectively integrate sophisticated technology into challenging operational landscapes, thereby improving both efficiency and reliability. Moreover, its user-friendly interface ensures that businesses can quickly adapt to the evolving needs of their edge computing environments.

Media

Media

No images available

Integrations Supported

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

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Standard 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

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Company Facts

Organization Name

Avassa

Date Founded

2020

Company Location

Sweden

Company Website

avassa.io

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Small Language Models

Not specified

Categories and Features

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