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Amazon EC2 January 2020 Update

Released on January 24th, 2020

Amazon EC2 T3 Instances Now Support Launching as Dedicated Instances

Amazon EC2 T3 instances are now available to launch as dedicated instances. T3 instances are a low cost burstable general-purpose instance type that provide a baseline level of CPU performance with the ability to burst CPU usage at any time for as long as required. T3 instances are designed for applications with moderate CPU usage that experience temporary spikes in use. T3 dedicated instances run in a VPC on hardware that's dedicated to a single customer. This means that your T3 dedicated instances will be physically isolated at the host hardware level from instances that belong to other AWS accounts. Dedicated instances may help customers meet their specific compliance goals or run software with specific licensing restrictions.  

T3 dedicated instances are available in Asia Pacific (Tokyo, Seoul, Singapore, Sydney, Mumbai), Europe (Frankfurt, Ireland, London), South America (Sao Paulo), Canada (Central), US East (N. Virginia, Ohio), and US West (Oregon, N. California) regions. For more information about using T3 dedicated instances, see the EC2 documentation page here

AWS Now Offers NVIDIA Quadro Virtual Workstations for EC2 G4 Instances at No Additional Cost

AWS is pleased to announce that customers who require the world’s most powerful professional graphics can now use EC2 G4 instances to setup NVIDIA Quadro Virtual Workstations (Quadro vWS) at no additional cost.

G4 instances provide the latest generation NVIDIA T4 Tensor Core GPUs, AWS custom second generation Intel® Xeon® Scalable (Cascade Lake) processors, up to 50 Gbps of networking throughput, and up to 900 GB of local NVMe storage. They are optimized for machine learning application deployments such as image classification, object detection, recommendation engines, automated speech recognition and language translation. These instances are also cost-effective solutions for graphics-intensive applications such as remote graphics workstations, video transcoding and game streaming in the cloud. EC2 G4 instances are offered in different instance sizes with access to one NVIDIA GPU or multiple NVIDIA GPUs with different amounts of vCPU and memory to give you the flexibility to pick the right instance size for your applications.

Now with Quadro Virtual Workstation capability included in the instance cost, G4 instances offer the best price/performance for virtual workstations in the cloud with a starting cost of only $0.526 per hour running On-Demand. NVIDIA T4 GPUs used in EC2 G4 instances support RT cores for efficient, hardware-powered ray tracing. These cores, in combination with Quadro vWS, support RTX-enabled applications, for real-time ray-traced rendering and interactive computer graphics. The NVIDIA Quadro vWS on G4 speeds the workflows of creative and technical professionals across a large variety of industries like media & entertainment, architecture, oil & gas, and manufacturing.

“The new Quadro Virtual Workstation offering with Amazon EC2 G4 streamlines access and affordability for customers who require the agility of professional graphics workstations in the cloud,” said Bob Pette, Senior Vice President, Professional Visualization, NVIDIA. “In the digital economy of work anywhere, anytime, cloud access to Quadro on any device opens new possibilities for designers, artists and engineers working in industries like media and entertainment, manufacturing, AEC, and others.” 

To get started quickly, customers can setup NVIDIA Quadro vWS using AMIs with the full GRID driver preinstalled, available through the AWS marketplace. Customers can also build their own AMIs using NVIDIA GRID drivers that are easily available via a S3 bucket. This allows customers to be in full control of how the instance is setup from OS type to driver version. The combination of low cost, ease of use, and availability of G4 instances across 19 AWS regions worldwide makes AWS the best platform for building, managing, and deploying virtual workstations.

For details on how to use G4 instances for setting up Virtual Workstations, please visit this page.

AWS Backup Adds Support for Amazon Elastic Cloud Compute (EC2) Instance Backup

AWS Backup automates backup and recovery jobs for Amazon EC2 instances without the need for custom scripts or third-party solutions, saving time and simplifying the backup process. Customers that use EC2 instances will now be able to perform their data protection requirements at the EC2 level, backing up both the Amazon Machine Instance (AMI) and the attached Amazon Elastic Block Store (EBS) volumes. You can now select an EC2 instance from the AWS Backup console, take an on-demand backup, or assign EC2 instances to a backup plan.  

Additionally, AWS Backup will enable customers to restore an EC2 instance with the same configuration as the original, greatly simplifying the recovery process. You can restore from the AWS Backup console, SDK, or CLI, all at the EC2 instance level.  

For more guidance on how to back up and recover EC2 instances, please see the AWS Backup documentation, here

AWS Backup offers a centralized, fully-managed, policy-based service to back up data across AWS services. With AWS Backup, you can centrally configure backup policies and monitor backup activity for AWS resources, including Amazon EBS volumes, Amazon Relational Database Service (RDS) databases, Amazon DynamoDB tables, Amazon Elastic File System(EFS), Amazon EC2 instances and AWS Storage Gateway volumes.  

For more information on where AWS Backup is available, see the AWS region table. To learn more about AWS Backup, please see the product page and documentation

Amazon Ec2 Spot Instances Can Now Be Stopped and Started Similar to On-Demand Instances

You can now stop your Amazon EC2 Spot Instances backed by Amazon EBS and start them at will, instead of relying on the “Stop” interruption behavior to stop your Spot Instances when interrupted. Earlier, you could only terminate your Spot Instances but now you can stop your Spot Instances and start them from the user initiated stop state provided Spot capacity is available within your maximum price requirements.  

The start/stop provides you more control over your Spot Instances in addition to the existing interruption behavior. When you stop your Spot Instance, the EBS root device and attached EBS volumes are saved and their data persists. Upon restart, the EBS root device is restored from its prior state, previously attached data volumes are reattached, and the instance retains its instance ID. 

This feature is available for persistent Spot requests. You will not be charged for instance usage while your instance is stopped. EBS volume storage is charged at standard rates. You should cancel your Spot request at any time to terminate stopped instances. This feature is only available for instances with an Amazon EBS volume as their root device. 

You can stop and start your EBS-backed Spot Instances through the AWS Management Console, or through the AWS SDK and AWS Command Line Interface (CLI) using the existing stop-instances and start-instances commands. For information on stopping and starting your Spot Instances, visit the technical documentation or FAQs. To learn more, visit Amazon EC2 Spot Instances

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