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ease
features
design
support

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Description

The Avassa Edge Platform is designed as an application management and operational solution specifically for environments with limited resources, including locations like retail establishments, manufacturing facilities, vehicles, and various remote sites. Its primary features encompass: • Automated deployment and updating of applications across numerous edge locations • Seamless host onboarding and operating system upgrades without manual intervention • Instantaneous visibility and health monitoring for all sites • Ability to function autonomously at each location, ensuring application functionality even during offline periods • Advanced multi-tenancy with cryptographic separation for security between tenants and sites • Compatibility with containerized workloads, virtual machines, and Edge AI applications Established in 2020 and based in Stockholm, Sweden, Avassa addresses the needs of enterprise operations seeking the robustness of cloud-native methodologies in settings where bandwidth is limited, latency is critical, and offline functionality is sometimes necessary. This innovative platform stands out for its ability to seamlessly integrate advanced technology into challenging environments, enhancing operational efficiency and reliability.

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 No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Hugging Face No 
Microsoft 365 Copilot No 
Microsoft Foundry No 
Microsoft Foundry Agent Service No 
NVIDIA DRIVE No 

Integrations

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

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
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 Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Avassa

Founded

2020

Country

Sweden

Website

avassa.io

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/

Product Features

Alternatives

Alternatives

Phi-4-reasoning Reviews

Phi-4-reasoning

Microsoft