Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The Trn1 instances of Amazon Elastic Compute Cloud (EC2), driven by AWS Trainium chips, are specifically designed to enhance the efficiency of deep learning training for generative AI models, such as large language models and latent diffusion models. These instances provide significant cost savings of up to 50% compared to other similar Amazon EC2 offerings. They are capable of facilitating the training of deep learning and generative AI models with over 100 billion parameters, applicable in various domains, including text summarization, code generation, question answering, image and video creation, recommendation systems, and fraud detection. Additionally, the AWS Neuron SDK supports developers in training their models on AWS Trainium and deploying them on the AWS Inferentia chips. With seamless integration into popular frameworks like PyTorch and TensorFlow, developers can leverage their current codebases and workflows for training on Trn1 instances, ensuring a smooth transition to optimized deep learning practices. Furthermore, this capability allows businesses to harness advanced AI technologies while maintaining cost-effectiveness and performance.
Description
Spherical Defense is an innovative API security solution that leverages deep unsupervised learning techniques to safeguard your APIs effectively. The Spherical Defense Express variant is designed for deployment on AWS and can be downloaded in just one minute, starting its protective measures within two hours at an economical rate of $1 per hour. After setting up your Spherical instance, it begins monitoring API traffic right away and continues to do so until it gathers enough data for initial model training. Once approximately 16,000 requests are processed, the system transitions to the training phase, where it refines its security model over about six hours before undergoing evaluation. As the system continues to receive new data, it adapts by training additional models to reflect changes in your API's traffic patterns over time. The process of training and adapting ensures ongoing protection, making it a dynamic and responsive security solution for your APIs. After the evaluation of the trained security model, the system is better equipped to handle future threats effectively.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AWS Deep Learning AMIs
Yes
AWS Deep Learning Containers
Yes
AWS Inferentia
Yes
AWS Marketplace
No
AWS Neuron
Yes
AWS Nitro System
Yes
AWS Trainium
Yes
Amazon EC2
Yes
Amazon EC2 Capacity Blocks for ML
Yes
Amazon EC2 Inf1 Instances
Yes
Integrations
AWS Deep Learning AMIs
No
AWS Deep Learning Containers
No
AWS Inferentia
No
AWS Marketplace
Yes
AWS Neuron
No
AWS Nitro System
No
AWS Trainium
No
Amazon EC2
No
Amazon EC2 Capacity Blocks for ML
No
Amazon EC2 Inf1 Instances
No
Pricing Details
$1.34 per hour
Free Trial
No
Free Version
No
Pricing Details
$1 per hour
Free Trial
No
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/ec2/instance-types/trn1/
Vendor Details
Company Name
Spherical Defense
Founded
2017
Country
United States
Website
sphericaldefence.com/product/
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No