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ease
features
design
support

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Description

It enables efficient training on Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances powered by AWS Trainium. Additionally, for model deployment, it facilitates both high-performance and low-latency inference utilizing AWS Inferentia-based Amazon EC2 Inf1 instances along with AWS Inferentia2-based Amazon EC2 Inf2 instances. With the Neuron SDK, users can leverage widely-used frameworks like TensorFlow and PyTorch to effectively train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal alterations to their code and no reliance on vendor-specific tools. The integration of the AWS Neuron SDK with these frameworks allows for seamless continuation of existing workflows, requiring only minor code adjustments to get started. For those involved in distributed model training, the Neuron SDK also accommodates libraries such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP), enhancing its versatility and scalability for various ML tasks. By providing robust support for these frameworks and libraries, it significantly streamlines the process of developing and deploying advanced machine learning solutions.

Description

Embark on your AIOps journey and revolutionize your IT operations using IBM Cloud Pak for Watson AIOps. This advanced platform integrates sophisticated, explainable AI throughout the ITOps toolchain, enabling you to effectively evaluate, diagnose, and address incidents affecting critical workloads. For those seeking IBM Netcool Operations Insight or earlier IBM IT management solutions, IBM Cloud Pak for Watson AIOps represents the next step in your current entitlements. It allows you to correlate data from all pertinent sources, uncover hidden anomalies, predict potential issues, and expedite resolutions. By proactively mitigating risks and automating runbooks, workflows become significantly more efficient. AIOps tools facilitate the real-time correlation of extensive unstructured and structured data, ensuring that teams can remain focused while gaining valuable insights and recommendations integrated into their existing processes. Additionally, you can create policies at the microservice level, allowing for seamless automation across various application components, ultimately enhancing overall operational efficiency even further. This comprehensive approach ensures that your IT operations are not just reactive but also strategically proactive.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Deep Learning AMIs
AWS Deep Learning Containers
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 UltraClusters
Amazon EKS
Amazon EKS Anywhere
Amazon Elastic Container Service (Amazon ECS)
Amazon Web Services (AWS)
Hazelcast
Humio
IBM Data Refinery
IBM Fusion
IBM ILOG CPLEX Optimization Studio
IBM Turbonomic
IBM Watson Studio
IBM WebSphere Commerce
Microsoft Teams
Sysdig Secure

Integrations

AWS Deep Learning AMIs
AWS Deep Learning Containers
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 UltraClusters
Amazon EKS
Amazon EKS Anywhere
Amazon Elastic Container Service (Amazon ECS)
Amazon Web Services (AWS)
Hazelcast
Humio
IBM Data Refinery
IBM Fusion
IBM ILOG CPLEX Optimization Studio
IBM Turbonomic
IBM Watson Studio
IBM WebSphere Commerce
Microsoft Teams
Sysdig Secure

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

Amazon Web Services

Founded

2006

Country

United States

Website

aws.amazon.com/machine-learning/neuron/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/cloud-pak-for-watson-aiops

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

Product Features

Incident Management

Audit Trail
Corrective Actions (CAPA)
Disaster Recovery
IT Incident Management
Incident Reporting
OSHA Compliance
Root-Cause Diagnosis
Safety Management
Task Management
Ticket Management

IT Management

Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring

Alternatives

Alternatives

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