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What is WEKA?

WEKA is a cutting-edge data platform designed to handle large-scale AI and HPC workloads across multiple environments, including cloud, on-premise, and hybrid clouds. Its ability to scale storage and compute independently allows users to manage millions or even billions of files without performance degradation. With integration capabilities for AI/ML workflows and accelerated data processing, WEKA is ideal for businesses and research labs needing fast, secure, and efficient access to data. The platform also focuses on sustainability by optimizing energy usage, making it a top choice for organizations looking to reduce their environmental footprint while maintaining high performance.

What is Amazon EC2 Inf1 Instances?

Amazon EC2 Inf1 instances are designed to deliver efficient and high-performance machine learning inference while significantly reducing costs. These instances boast throughput that is 2.3 times greater and inference costs that are 70% lower compared to other Amazon EC2 offerings. Featuring up to 16 AWS Inferentia chips, which are specialized ML inference accelerators created by AWS, Inf1 instances are also powered by 2nd generation Intel Xeon Scalable processors, allowing for networking bandwidth of up to 100 Gbps, a crucial factor for extensive machine learning applications. They excel in various domains, such as search engines, recommendation systems, computer vision, speech recognition, natural language processing, personalization features, and fraud detection systems. Furthermore, developers can leverage the AWS Neuron SDK to seamlessly deploy their machine learning models on Inf1 instances, supporting integration with popular frameworks like TensorFlow, PyTorch, and Apache MXNet, ensuring a smooth transition with minimal changes to the existing codebase. This blend of cutting-edge hardware and robust software tools establishes Inf1 instances as an optimal solution for organizations aiming to enhance their machine learning operations, making them a valuable asset in today’s data-driven landscape. Consequently, businesses can achieve greater efficiency and effectiveness in their machine learning initiatives.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
AMI Data Center Manager
Altair Activate
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon Elastic Block Store (EBS)
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Cisco CX Cloud
Dell EMC PowerFlex
IBM Cloud
Lambda Suite
Lenovo ThinkAgile HX Series
MXNet
Valohai

Integrations Supported

Amazon Web Services (AWS)
AMI Data Center Manager
Altair Activate
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 P4 Instances
Amazon EC2 P5 Instances
Amazon EC2 Trn1 Instances
Amazon EC2 Trn2 Instances
Amazon EKS
Amazon Elastic Block Store (EBS)
Amazon Elastic Container Service (Amazon ECS)
Amazon SageMaker
Cisco CX Cloud
Dell EMC PowerFlex
IBM Cloud
Lambda Suite
Lenovo ThinkAgile HX Series
MXNet
Valohai

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.228 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

WEKA

Date Founded

2013

Company Location

United States

Company Website

www.weka.io

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/instance-types/inf1/

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Workload Automation

Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Popular Alternatives

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Azure HPC

Microsoft

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AWS Neuron

Amazon Web Services