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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
API Access
Has API
Screenshots View All
No images available
Integrations
Hugging Face
Microsoft 365 Copilot
Microsoft Foundry
Microsoft Foundry Agent Service
NVIDIA DRIVE
Integrations
Hugging Face
Microsoft 365 Copilot
Microsoft Foundry
Microsoft Foundry Agent Service
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
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/
