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What is Spherical Defense?
Spherical Defense offers a cutting-edge API security solution that utilizes advanced deep unsupervised learning methods to protect your APIs efficiently. The Express version of Spherical Defense is tailored for AWS deployment and can be set up in under a minute, initiating its defense mechanisms within a two-hour timeframe at a cost-effective rate of just $1 per hour. Once your Spherical instance is operational, it immediately begins to analyze API traffic and continues this process until it accumulates sufficient data for its initial model training. After processing roughly 16,000 requests, the system enters a training phase, refining its security model over a span of approximately six hours, followed by a thorough evaluation. As the system consistently receives incoming data, it remains agile, training additional models to adapt to evolving API traffic patterns. This continual process of training and adjustment ensures that the solution maintains robust protection, rendering it a versatile and proactive safeguard for your APIs. Ultimately, following the assessment of the trained security model, the system enhances its capability to combat future threats with greater efficacy. This adaptability not only fortifies security but also builds trust in the integrity of your API operations.
What is Amazon EC2 Trn1 Instances?
Amazon's Elastic Compute Cloud (EC2) Trn1 instances, powered by AWS Trainium processors, are meticulously engineered to optimize deep learning training, especially for generative AI models such as large language models and latent diffusion models. These instances significantly reduce costs, offering training expenses that can be as much as 50% lower than comparable EC2 alternatives. Capable of accommodating deep learning models with over 100 billion parameters, Trn1 instances are versatile and well-suited for a variety of applications, including text summarization, code generation, question answering, image and video creation, recommendation systems, and fraud detection. The AWS Neuron SDK further streamlines this process, assisting developers in training their models on AWS Trainium and deploying them efficiently on AWS Inferentia chips. This comprehensive toolkit integrates effortlessly with widely used frameworks like PyTorch and TensorFlow, enabling users to maximize their existing code and workflows while harnessing the capabilities of Trn1 instances for model training. Consequently, this approach not only facilitates a smooth transition to high-performance computing but also enhances the overall efficiency of AI development processes. Moreover, the combination of advanced hardware and software support allows organizations to remain at the forefront of innovation in artificial intelligence.
Integrations Supported
AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS Marketplace
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Integrations Supported
AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS Marketplace
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
API Availability
Has API
API Availability
Has API
Pricing Information
$1 per hour
Free Trial Offered?
Free Version
Pricing Information
$1.34 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
Spherical Defense
Date Founded
2017
Company Location
United States
Company Website
sphericaldefence.com/product/
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/ec2/instance-types/trn1/
Categories and Features
Categories and Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization