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What is Ori GPU Cloud?
Utilize GPU-accelerated instances that can be customized to align with your artificial intelligence needs and budget. Gain access to a vast selection of GPUs housed in a state-of-the-art AI data center, perfectly suited for large-scale training and inference tasks. The current trajectory in the AI sector is clearly favoring GPU cloud solutions, facilitating the development and implementation of groundbreaking models while simplifying the complexities of infrastructure management and resource constraints. Providers specializing in AI cloud services consistently outperform traditional hyperscalers in terms of availability, cost-effectiveness, and the capability to scale GPU resources for complex AI applications. Ori offers a wide variety of GPU options, each tailored to fulfill distinct processing requirements, resulting in superior availability of high-performance GPUs compared to typical cloud offerings. This advantage allows Ori to present increasingly competitive pricing year after year, whether through pay-as-you-go models or dedicated servers. When compared to the hourly or usage-based charges of conventional cloud service providers, our GPU computing costs are significantly lower for running extensive AI operations, making it an attractive option. Furthermore, this financial efficiency positions Ori as an appealing selection for enterprises aiming to enhance their AI strategies, ensuring they can optimize their resources effectively for maximum impact.
What is Amazon EC2 P4 Instances?
Amazon's EC2 P4d instances are designed to deliver outstanding performance for machine learning training and high-performance computing applications within the cloud. Featuring NVIDIA A100 Tensor Core GPUs, these instances are capable of achieving impressive throughput while offering low-latency networking that supports a remarkable 400 Gbps instance networking speed. P4d instances serve as a budget-friendly option, allowing businesses to realize savings of up to 60% during the training of machine learning models and providing an average performance boost of 2.5 times for deep learning tasks when compared to previous P3 and P3dn versions. They are often utilized in large configurations known as Amazon EC2 UltraClusters, which effectively combine high-performance computing, networking, and storage capabilities. This architecture enables users to scale their operations from just a few to thousands of NVIDIA A100 GPUs, tailored to their particular project needs. A diverse group of users, such as researchers, data scientists, and software developers, can take advantage of P4d instances for a variety of machine learning tasks including natural language processing, object detection and classification, as well as recommendation systems. Additionally, these instances are well-suited for high-performance computing endeavors like drug discovery and intricate data analyses. The blend of remarkable performance and the ability to scale effectively makes P4d instances an exceptional option for addressing a wide range of computational challenges, ensuring that users can meet their evolving needs efficiently.
Integrations Supported
AWS Batch
AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Integrations Supported
AWS Batch
AWS Deep Learning AMIs
AWS Deep Learning Containers
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2
Amazon EC2 Capacity Blocks for ML
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
API Availability
Has API
API Availability
Has API
Pricing Information
$3.24 per month
Free Trial Offered?
Free Version
Pricing Information
$11.57 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
Ori
Date Founded
2018
Company Location
United Kingdom
Company Website
www.ori.co
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/ec2/instance-types/p4/
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
