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Description
Speed up the transfer of offline data or remote storage to the cloud seamlessly. Migrate vast amounts of data, reaching petabytes, to the cloud with no restrictions on storage capacity or computing resources. Enhance application performance in challenging edge environments that lack connectivity and handle computational tasks even with limited access to networks. Safeguard your data while it is being transferred using Snowball's durable design, built-in logistics, and secure, tamper-evident packaging, ensuring efficient delivery to the intended destination. Within the AWS Snowball console, choose your desired device, which could be either the AWS Snowball Edge Compute Optimized or the AWS Snowball Edge Storage Optimized. Initiate a job linked to an Amazon S3 bucket, opt for Amazon Simple Notification Service (Amazon SNS) to monitor progress, and set up configurations such as Amazon EC2 AMIs. AWS will then prepare and dispatch the selected device to your location. Upon receipt, power on the device and utilize AWS OpsHub to unlock it for use. Connect the device to your local area network, and leverage AWS OpsHub to manage it, facilitate data transfers, or launch EC2 instances as needed. This streamlined process ensures that your data migration is not only efficient but also secure and straightforward.
Description
Amazon EC2 Capacity Blocks for Machine Learning allow users to secure accelerated computing instances within Amazon EC2 UltraClusters specifically for their machine learning tasks. This service encompasses a variety of instance types, including Amazon EC2 P5en, P5e, P5, and P4d, which utilize NVIDIA H200, H100, and A100 Tensor Core GPUs, along with Trn2 and Trn1 instances that leverage AWS Trainium. Users can reserve these instances for periods of up to six months, with cluster sizes ranging from a single instance to 64 instances, translating to a maximum of 512 GPUs or 1,024 Trainium chips, thus providing ample flexibility to accommodate diverse machine learning workloads. Additionally, reservations can be arranged as much as eight weeks ahead of time. By operating within Amazon EC2 UltraClusters, Capacity Blocks facilitate low-latency and high-throughput network connectivity, which is essential for efficient distributed training processes. This configuration guarantees reliable access to high-performance computing resources, empowering you to confidently plan your machine learning projects, conduct experiments, develop prototypes, and effectively handle anticipated increases in demand for machine learning applications. Furthermore, this strategic approach not only enhances productivity but also optimizes resource utilization for varying project scales.
API Access
Has API
API Access
Has API
Integrations
Amazon EC2
Amazon Web Services (AWS)
AWS Hybrid Cloud
AWS Marketplace
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
Integrations
Amazon EC2
Amazon Web Services (AWS)
AWS Hybrid Cloud
AWS Marketplace
AWS Neuron
AWS Nitro System
AWS Trainium
Amazon EC2 G5 Instances
Amazon EC2 Inf1 Instances
Amazon EC2 P4 Instances
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
Founded
1994
Country
United States
Website
aws.amazon.com/snow/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/ec2/capacityblocks/
Product Features
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization