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Description
With just a few clicks, you can effortlessly deploy multiple ESB instances on the Integration Platform. You can also monitor and troubleshoot both singular instances and entire clusters through a centralized dashboard. The ESB instances run in lightweight Docker containers, enhancing resource efficiency and responsiveness compared to traditional virtual machines. Leveraging the robust Kubernetes framework, the platform quickly identifies and restarts any failed instances within seconds. You have the flexibility to scale computing power by adding or removing physical or virtual machines without affecting existing components. The IPS dashboard allows for streamlined management of ESB clusters, projects, configurations, and user permissions, alongside monitoring statistics and debugging instances. Additionally, you can integrate project-specific dashboards to effectively oversee and manage the platform and individual projects from one cohesive interface. This unified approach not only simplifies management but also enhances overall operational efficiency.
Description
Amazon EC2 Trn2 instances, equipped with AWS Trainium2 chips, are specifically designed to deliver exceptional performance in the training of generative AI models, such as large language and diffusion models. Users can experience cost savings of up to 50% in training expenses compared to other Amazon EC2 instances. These Trn2 instances can accommodate as many as 16 Trainium2 accelerators, boasting an impressive compute power of up to 3 petaflops using FP16/BF16 and 512 GB of high-bandwidth memory. For enhanced data and model parallelism, they are built with NeuronLink, a high-speed, nonblocking interconnect, and offer a substantial network bandwidth of up to 1600 Gbps via the second-generation Elastic Fabric Adapter (EFAv2). Trn2 instances are part of EC2 UltraClusters, which allow for scaling up to 30,000 interconnected Trainium2 chips within a nonblocking petabit-scale network, achieving a remarkable 6 exaflops of compute capability. Additionally, the AWS Neuron SDK provides seamless integration with widely used machine learning frameworks, including PyTorch and TensorFlow, making these instances a powerful choice for developers and researchers alike. This combination of cutting-edge technology and cost efficiency positions Trn2 instances as a leading option in the realm of high-performance deep learning.
API Access
Has API
API Access
Has API
Integrations
AWS Batch
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 UltraClusters
Integrations
AWS Batch
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 UltraClusters
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
AdroitLogic
Founded
2010
Country
Sri Lanka
Website
www.adroitlogic.com/products/ips/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/ec2/instance-types/trn2/
Product Features
Enterprise Service Bus (ESB)
Data Source Connectors
Electronic Data Interchange (EDI)
Enterprise Application Integration
Enterprise Integration Patterns (EIP)
Integrations Management
Messaging
Product 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