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Description

Amazon EC2 P4d instances are designed for optimal performance in machine learning training and high-performance computing (HPC) applications within the cloud environment. Equipped with NVIDIA A100 Tensor Core GPUs, these instances provide exceptional throughput and low-latency networking capabilities, boasting 400 Gbps instance networking. P4d instances are remarkably cost-effective, offering up to a 60% reduction in expenses for training machine learning models, while also delivering an impressive 2.5 times better performance for deep learning tasks compared to the older P3 and P3dn models. They are deployed within expansive clusters known as Amazon EC2 UltraClusters, which allow for the seamless integration of high-performance computing, networking, and storage resources. This flexibility enables users to scale their operations from a handful to thousands of NVIDIA A100 GPUs depending on their specific project requirements. Researchers, data scientists, and developers can leverage P4d instances to train machine learning models for diverse applications, including natural language processing, object detection and classification, and recommendation systems, in addition to executing HPC tasks such as pharmaceutical discovery and other complex computations. These capabilities collectively empower teams to innovate and accelerate their projects with greater efficiency and effectiveness.

Description

Utilizing log services is essential, yet your teams desire insights at the cluster level. Enhance efficiency and obtain more profound insights with IBM® Log Analysis service, which offers seamless integration with numerous cloud-native runtimes and environments. Experience features such as log collection, log tailing, and rapid log searches. Benefit from natural language queries and a search retention period of up to 30 days. You can set up cluster-level logging for Kubernetes clusters, providing access to logs for various types, including worker, pod, application, and network logs. This data can be monitored from diverse sources, allowing for centralized management of Ubuntu logs on IBM Cloud®. DevOps teams have the capability to archive logs from an IBM Log Analysis instance directly into a bucket within an IBM Cloud Object Storage instance. By aggregating all log data in one central location, you can anticipate compatibility with services like Pager Duty, Slack, webhooks, and many others. The service supports over 30 integrations and ingestion sources, while also offering features like natural language queries and a pay-per-GB pricing model. This comprehensive approach not only simplifies log management but also empowers teams to gain actionable insights quickly.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Batch Yes 
AWS Deep Learning AMIs Yes 
AWS Deep Learning Containers Yes 
AWS Neuron Yes 
AWS Nitro System Yes 
AWS Trainium Yes 
Amazon EC2 Yes 
Amazon EC2 Capacity Blocks for ML Yes 
Amazon EC2 Trn1 Instances Yes 
Amazon EC2 Trn2 Instances Yes 
Amazon EC2 UltraClusters Yes 
Amazon EKS Yes 
Amazon Elastic Container Service (Amazon ECS) Yes 
Amazon SageMaker Yes 
IBM Cloud No 
IBM Cloud Object Storage No 
Kubernetes No 
PyTorch Yes 
Slack No 
TensorFlow Yes 

Integrations

AWS Batch No 
AWS Deep Learning AMIs No 
AWS Deep Learning Containers No 
AWS Neuron No 
AWS Nitro System No 
AWS Trainium No 
Amazon EC2 No 
Amazon EC2 Capacity Blocks for ML No 
Amazon EC2 Trn1 Instances No 
Amazon EC2 Trn2 Instances No 
Amazon EC2 UltraClusters No 
Amazon EKS No 
Amazon Elastic Container Service (Amazon ECS) No 
Amazon SageMaker No 
IBM Cloud Yes 
IBM Cloud Object Storage Yes 
Kubernetes Yes 
PyTorch No 
Slack Yes 
TensorFlow No 

Pricing Details

$11.57 per hour
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook 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 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
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 Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/ec2/instance-types/p4/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/log-analysis

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 

HPC

Product Features

Alternatives

Alternatives