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Ratings and Reviews 0 Ratings
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What is Exafunction?
Exafunction significantly boosts the effectiveness of your deep learning inference operations, enabling up to a tenfold increase in resource utilization and savings on costs. This enhancement allows developers to focus on building their deep learning applications without the burden of managing clusters and optimizing performance. Often, deep learning tasks face limitations in CPU, I/O, and network capabilities that restrict the full potential of GPU resources. However, with Exafunction, GPU code is seamlessly transferred to high-utilization remote resources like economical spot instances, while the main logic runs on a budget-friendly CPU instance. Its effectiveness is demonstrated in challenging applications, such as large-scale simulations for autonomous vehicles, where Exafunction adeptly manages complex custom models, ensures numerical integrity, and coordinates thousands of GPUs in operation concurrently. It works seamlessly with top deep learning frameworks and inference runtimes, providing assurance that models and their dependencies, including any custom operators, are carefully versioned to guarantee reliable outcomes. This thorough approach not only boosts performance but also streamlines the deployment process, empowering developers to prioritize innovation over infrastructure management. Additionally, Exafunction’s ability to adapt to the latest technological advancements ensures that your applications stay on the cutting edge of deep learning capabilities.
What is EC2 Spot?
Amazon EC2 Spot Instances enable users to tap into the unused capacity of the AWS cloud, offering remarkable savings that can reach up to 90% when compared to standard On-Demand pricing. These instances are suitable for various applications that are stateless, resilient, or flexible, such as big data analytics, containerized workloads, continuous integration and delivery (CI/CD), web hosting, high-performance computing (HPC), as well as for development and testing purposes. The effortless integration of Spot Instances with a variety of AWS services—including Auto Scaling, EMR, ECS, CloudFormation, Data Pipeline, and AWS Batch—facilitates efficient application deployment and management. Furthermore, by utilizing a combination of Spot Instances alongside On-Demand and Reserved Instances (RIs), as well as Savings Plans, users can significantly enhance both cost efficiency and performance. The extensive operational capacity of AWS allows Spot Instances to provide considerable scalability and cost advantages for handling large-scale workloads. Consequently, this inherent flexibility and the potential for cost reductions make Spot Instances an appealing option for organizations aiming to optimize their cloud expenditures while maximizing resource utilization. As companies increasingly seek ways to manage their cloud costs effectively, the strategic use of Spot Instances can play a pivotal role in their overall cloud strategy.
Integrations Supported
AWS Auto Scaling
AWS Batch
AWS CloudFormation
AWS Data Pipeline
Amazon EC2
Amazon EMR
Amazon Elastic Container Service (Amazon ECS)
Amazon Web Services (AWS)
DoiT
PyTorch
Integrations Supported
AWS Auto Scaling
AWS Batch
AWS CloudFormation
AWS Data Pipeline
Amazon EC2
Amazon EMR
Amazon Elastic Container Service (Amazon ECS)
Amazon Web Services (AWS)
DoiT
PyTorch
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.01 per user, one-time payment,
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
Exafunction
Company Website
exafunction.com
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/ec2/spot/
Categories and Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Continuous Integration
Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management
