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features
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support

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Description

The Affirmed Cloud Edge (ACE) solution for mobile edge computing (MEC) provides Communication Service Providers (CSPs) and Enterprises with the capability to host applications and retain data on-site, effectively reducing latency and enhancing operational efficiency. This MEC solution can be implemented at the periphery of the mobile operator's network or integrated with Cloud Edge services from platforms like AWS, Microsoft Azure, or Google Cloud. By leveraging mobile edge computing, telecom operators can develop valuable applications for both businesses and consumers alike. It enables quick air interfaces and swift session initiation for emerging low-latency services, such as immersive experiences in stadiums. Additionally, it allows for the optimization of content delivery according to user conditions and context, ensuring efficient use of bandwidth and computing resources for IoT analytics and content caching. Moreover, the solution supports high-bandwidth localized applications, including augmented and virtual reality entertainment, paving the way for innovative user experiences. As a result, this approach not only enhances the efficiency of services provided but also fosters the development of new, exciting applications in various industries.

Description

HPC-AI is a cutting-edge enterprise AI infrastructure and GPU cloud service crafted to enhance the training of deep learning models, facilitate inference, and manage extensive compute tasks with impressive performance and cost-effectiveness. The platform offers an AI-optimized stack that is pre-configured for swift deployment and real-time inference, adeptly handling demanding tasks that necessitate high IOPS, ultra-low latency, and significant throughput. It establishes a strong GPU cloud environment tailored for artificial intelligence, high-performance computing, and various compute-heavy applications, equipping teams with essential tools to execute complex workflows effectively. Central to the platform's offerings is its software, which prioritizes parallel and distributed training, inference, and the fine-tuning of expansive neural networks, aiding organizations in lowering infrastructure expenses while preserving high performance. Additionally, technologies like Colossal-AI contribute to its capabilities, drastically speeding up model training and enhancing overall productivity. This combination of features helps organizations remain competitive in the rapidly evolving landscape of artificial intelligence.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Dell EMC Avamar
Docker
Google Cloud Platform
HPE Cloud Volumes
Hugging Face
Junos Space Network Management
Kubernetes
Microsoft Azure
PalmLeaf
PyTorch
TensorFlow
VMware Cloud

Integrations

Amazon Web Services (AWS)
Dell EMC Avamar
Docker
Google Cloud Platform
HPE Cloud Volumes
Hugging Face
Junos Space Network Management
Kubernetes
Microsoft Azure
PalmLeaf
PyTorch
TensorFlow
VMware Cloud

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$3.05 per hour
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

Affirmed

Country

United States

Website

www.affirmednetworks.com/products-solutions/mec-solutions/

Vendor Details

Company Name

HPC-AI

Country

Singapore

Website

www.hpc-ai.com

Product Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Alternatives

Alternatives

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