Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Cloud Repatriation Analyzer (CRA) assesses workloads in public cloud environments like AWS, GCP, Azure, and DigitalOcean to determine the viability and cost-effectiveness of transitioning to bare-metal hosting.
Key Features:
Cross-Cloud Resource Mapping: Utilizes read-only APIs to seamlessly integrate and visualize assets spanning compute, storage, databases, and networking.
Intelligent Waste Detection: Analyzes a month's worth of usage data to uncover inefficiencies such as ghost storage, inactive instances, idle load balancers, and potential egress leaks.
Migration Planning Blueprinting: Aligns cloud workloads with appropriately sized bare-metal servers (e.g., Hetzner, OVH), providing a detailed comparison of Hybrid and Full Migration strategies.
Cost & Return Analytics: Evaluates monthly operational expense reductions, initial setup investments, break-even periods, and projected Total Cost of Ownership over one, three, and five years.
Comprehensive Executive Reporting: Generates migration plans that can be exported, outlining specific resource actions, server performance metrics, and dependencies on managed services, ensuring stakeholders have a clear understanding of the migration process. Additionally, this analysis empowers organizations to make informed decisions regarding their cloud strategy.
Description
IREN’s AI Cloud is a cutting-edge GPU cloud infrastructure that utilizes NVIDIA's reference architecture along with a high-speed, non-blocking InfiniBand network capable of 3.2 TB/s, specifically engineered for demanding AI training and inference tasks through its bare-metal GPU clusters. This platform accommodates a variety of NVIDIA GPU models, providing ample RAM, vCPUs, and NVMe storage to meet diverse computational needs. Fully managed and vertically integrated by IREN, the service ensures clients benefit from operational flexibility, robust reliability, and comprehensive 24/7 in-house support. Users gain access to performance metrics monitoring, enabling them to optimize their GPU expenditures while maintaining secure and isolated environments through private networking and tenant separation. The platform empowers users to deploy their own data, models, and frameworks such as TensorFlow, PyTorch, and JAX, alongside container technologies like Docker and Apptainer, all while granting root access without any limitations. Additionally, it is finely tuned to accommodate the scaling requirements of complex applications, including the fine-tuning of extensive language models, ensuring efficient resource utilization and exceptional performance for sophisticated AI projects.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Amazon Web Services (AWS)
DeepSeek
Dell Technologies Cloud
DigitalOcean
Docker
Falcon AI
Google Cloud Platform
JAX
Llama
Microsoft Azure
Integrations
Amazon Web Services (AWS)
DeepSeek
Dell Technologies Cloud
DigitalOcean
Docker
Falcon AI
Google Cloud Platform
JAX
Llama
Microsoft Azure
Pricing Details
$249
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
Yellowstone Labs
Website
yellowstonelabs.io/labs/cloud-repatriation-analyzer
Vendor Details
Company Name
IREN
Country
Australia
Website
www.iren.com/solutions/gpu-cloud/ai-cloud
Product Features
Cloud Cost Management
Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting
Product Features
Alternatives
No Alternatives