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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Integrating cost management into your engineering processes ensures that waste does not reach production, resulting in a proven ability to reduce spending by 40–50% for startups utilizing AWS. By proactively optimizing expenses and minimizing waste, you can address potential issues before they scale. Streamlining engineering tasks by eliminating infrastructure distractions can also help prevent unexpected budget overruns, using tools like anomaly detection, automated safeguards, and cost-conscious workflows. Implementing Shift-Left FinOps means incorporating anomaly detection, budget notifications, and AI-driven over-provisioning safeguards directly into your CI/CD pipeline. Achieving Full-Stack Visibility allows you to identify underutilized resources, excessive storage use, and concealed expenditures across all cloud environments. Conducting Blameless Cost Post-Mortems enables thorough incident evaluations that transform isolated overspending instances into enduring protective measures. Moreover, adopting a FinOps-Native Engineering Practice ensures that the financial impact is considered as part of each feature's delivery process, with lifecycle policies being automated for greater efficiency. Ultimately, these strategies contribute to creating a more sustainable and financially responsible engineering environment.

Description

The Iguazio AI Platform provides a complete AI workflow in a single ready-to-use platform that includes all the required building blocks for building, deploying, operationalizing, scaling and de-risking ML and GenAI applications in live business environments. Highlights: - From POC to production - Get your AI projects out of the lab and into production with full automation and auto-scaling capabilities. - LLM Customization - Responsibly fine-tune models with RAG, RAFT and more. Improve model accuracy and performance at minimal cost. - GPU Provisioning - Optimize GPU resources by scaling usage up and down as needed. - Hybrid Deployment - Including AWS cloud, AWS GovCloud and AWS Outposts. - Governance - Monitor AI applications, address regulation needs, keep PII secure, mitigate bias and more

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

AWS AI Services No 
Amazon Web Services (AWS) Yes 
Connact No 
MongoDB No 
NVIDIA RAPIDS No 

Integrations

AWS AI Services Yes 
Amazon Web Services (AWS) No 
Connact Yes 
MongoDB Yes 
NVIDIA RAPIDS Yes 

Pricing Details

Custom pricing options
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version 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 

Deployment

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

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Automat-it

Founded

2012

Country

Israel

Website

www.automat-it.com

Vendor Details

Company Name

Iguazio (Acquired by McKinsey)

Founded

2014

Country

Israel

Website

www.iguazio.com

Product Features

Cloud Cost Management

Cost Reduction Optimization No 
Dashboard No 
Data Import/Export No 
Data Storage No 
Data Visualization No 
Resource Usage Reporting No 
Roles / Permissions No 
Spend and Cost Reporting No 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing Yes 
High Volume Processing Yes 
No-Code Sandbox No 
Predictive Analytics Yes 
Templates No 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

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