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Description
The Granica AI efficiency platform significantly lowers the expenses associated with storing and accessing data while ensuring its privacy, thus facilitating its use for training purposes. Designed with developers in mind, Granica operates on a petabyte scale and is natively compatible with AWS and GCP. It enhances the effectiveness of AI pipelines while maintaining privacy and boosting performance. Efficiency has become an essential layer within the AI infrastructure. Using innovative compression algorithms for byte-granular data reduction, it can minimize storage and transfer costs in Amazon S3 and Google Cloud Storage by as much as 80%, alongside reducing API expenses by up to 90%. Users can conduct an estimation in just 30 minutes within their cloud environment, utilizing a read-only sample of their S3 or GCS data, without the need for budget allocation or total cost of ownership assessments. Granica seamlessly integrates into your existing environment and VPC, adhering to all established security protocols. It accommodates a diverse array of data types suitable for AI, machine learning, and analytics, offering both lossy and fully lossless compression options. Furthermore, it has the capability to identify and safeguard sensitive data even before it is stored in your cloud object repository, ensuring compliance and security from the outset. This comprehensive approach not only streamlines operations but also fortifies data protection throughout the entire process.
Description
NVIDIA AI Enterprise serves as the software backbone of the NVIDIA AI platform, enhancing the data science workflow and facilitating the development and implementation of various AI applications, including generative AI, computer vision, and speech recognition. Featuring over 50 frameworks, a range of pretrained models, and an array of development tools, NVIDIA AI Enterprise aims to propel businesses to the forefront of AI innovation while making the technology accessible to all enterprises. As artificial intelligence and machine learning have become essential components of nearly every organization's competitive strategy, the challenge of managing fragmented infrastructure between cloud services and on-premises data centers has emerged as a significant hurdle. Effective AI implementation necessitates that these environments be treated as a unified platform, rather than isolated computing units, which can lead to inefficiencies and missed opportunities. Consequently, organizations must prioritize strategies that promote integration and collaboration across their technological infrastructures to fully harness AI's potential.
API Access
Has API
API Access
Has API
Integrations
.NET
302.AI
AI-Q NVIDIA Blueprint
Dataoorts GPU Cloud
Go
Java
JavaScript
LiteLLM
MaiaOS
NVIDIA AI Data Platform
Integrations
.NET
302.AI
AI-Q NVIDIA Blueprint
Dataoorts GPU Cloud
Go
Java
JavaScript
LiteLLM
MaiaOS
NVIDIA AI Data Platform
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
Granica
Website
granica.ai/
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/data-center/products/ai-enterprise/
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
