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What is NVIDIA AI Foundations?

Generative AI is revolutionizing a multitude of industries by creating extensive opportunities for knowledge workers and creative professionals to address critical challenges facing society today. NVIDIA plays a pivotal role in this evolution, offering a comprehensive suite of cloud services, pre-trained foundational models, and advanced frameworks, complemented by optimized inference engines and APIs, which facilitate the seamless integration of intelligence into business applications. The NVIDIA AI Foundations suite equips enterprises with cloud solutions that bolster generative AI capabilities, enabling customized applications across various sectors, including text analysis (NVIDIA NeMoâ„¢), digital visual creation (NVIDIA Picasso), and life sciences (NVIDIA BioNeMoâ„¢). By utilizing the strengths of NeMo, Picasso, and BioNeMo through NVIDIA DGXâ„¢ Cloud, organizations can unlock the full potential of generative AI technology. This innovative approach is not confined solely to creative tasks; it also supports the generation of marketing materials, the development of storytelling content, global language translation, and the synthesis of information from diverse sources like news articles and meeting records. As businesses leverage these cutting-edge tools, they can drive innovation, adapt to emerging trends, and maintain a competitive edge in a rapidly changing digital environment, ultimately reshaping how they operate and engage with their audiences.

What is AWS Inferentia?

AWS has introduced Inferentia accelerators to enhance performance and reduce expenses associated with deep learning inference tasks. The original version of this accelerator is compatible with Amazon Elastic Compute Cloud (Amazon EC2) Inf1 instances, delivering throughput gains of up to 2.3 times while cutting inference costs by as much as 70% in comparison to similar GPU-based EC2 instances. Numerous companies, including Airbnb, Snap, Sprinklr, Money Forward, and Amazon Alexa, have successfully implemented Inf1 instances, reaping substantial benefits in both efficiency and affordability. Each first-generation Inferentia accelerator comes with 8 GB of DDR4 memory and a significant amount of on-chip memory. In comparison, Inferentia2 enhances the specifications with a remarkable 32 GB of HBM2e memory per accelerator, providing a fourfold increase in overall memory capacity and a tenfold boost in memory bandwidth compared to the first generation. This leap in technology places Inferentia2 as an optimal choice for even the most resource-intensive deep learning tasks. With such advancements, organizations can expect to tackle complex models more efficiently and at a lower cost.

Media

Media

Integrations Supported

AWS Parallel Computing Service
Accenture Cloud Retail Execution
Adept Secure
Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
BaseCase
BioNeMo
Cohere
Dataoorts GPU Cloud
Deloitte Cascade Suite
Dream by WOMBO
NVIDIA Blueprints
NVIDIA DGX Cloud
NVIDIA Morpheus
NVIDIA NeMo
NVIDIA Picasso
PortraitPro
PyTorch
Stable Diffusion
Weights & Biases

Integrations Supported

AWS Parallel Computing Service
Accenture Cloud Retail Execution
Adept Secure
Amazon EC2 Inf1 Instances
Amazon EC2 Trn1 Instances
BaseCase
BioNeMo
Cohere
Dataoorts GPU Cloud
Deloitte Cascade Suite
Dream by WOMBO
NVIDIA Blueprints
NVIDIA DGX Cloud
NVIDIA Morpheus
NVIDIA NeMo
NVIDIA Picasso
PortraitPro
PyTorch
Stable Diffusion
Weights & Biases

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Company Location

United States

Company Website

www.nvidia.com/en-us/ai-data-science/generative-ai/

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/machine-learning/inferentia/

Categories and 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)

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

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