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What is Modular?
The evolution of artificial intelligence begins at this very moment.
Modular presents an integrated and versatile suite of tools crafted to optimize your AI infrastructure, empowering your team to speed up development, deployment, and innovation. With its powerful inference engine, Modular merges diverse AI frameworks and hardware, enabling smooth deployment in any cloud or on-premises environment with minimal code alterations, thus ensuring outstanding usability, performance, and adaptability. Transitioning your workloads to the most appropriate hardware is a breeze, eliminating the need to rewrite or recompile your models. This strategy enables you to sidestep vendor lock-in while enjoying cost savings and performance improvements in the cloud, all without facing migration costs. Ultimately, this creates a more nimble and responsive landscape for AI development, fostering creativity and efficiency in your projects. As technology continues to progress, embracing such tools can significantly enhance your team's capabilities and outcomes.
What is Amazon EC2 Inf1 Instances?
Amazon EC2 Inf1 instances are designed to deliver efficient and high-performance machine learning inference while significantly reducing costs. These instances boast throughput that is 2.3 times greater and inference costs that are 70% lower compared to other Amazon EC2 offerings. Featuring up to 16 AWS Inferentia chips, which are specialized ML inference accelerators created by AWS, Inf1 instances are also powered by 2nd generation Intel Xeon Scalable processors, allowing for networking bandwidth of up to 100 Gbps, a crucial factor for extensive machine learning applications. They excel in various domains, such as search engines, recommendation systems, computer vision, speech recognition, natural language processing, personalization features, and fraud detection systems. Furthermore, developers can leverage the AWS Neuron SDK to seamlessly deploy their machine learning models on Inf1 instances, supporting integration with popular frameworks like TensorFlow, PyTorch, and Apache MXNet, ensuring a smooth transition with minimal changes to the existing codebase. This blend of cutting-edge hardware and robust software tools establishes Inf1 instances as an optimal solution for organizations aiming to enhance their machine learning operations, making them a valuable asset in today’s data-driven landscape. Consequently, businesses can achieve greater efficiency and effectiveness in their machine learning initiatives.
Integrations Supported
AWS Deep Learning AMIs
AWS Inferentia
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 G5 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Integrations Supported
AWS Deep Learning AMIs
AWS Inferentia
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 G5 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.228 per hour
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
Modular
Date Founded
2022
Company Location
United States
Company Website
www.modular.com
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/ec2/instance-types/inf1/
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
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization