Overview
Numerical Weather Prediction & Air Quality Modeling on Graviton4 with Odycloud provides a complete package to launch and manage WRF and CMAQ on AWS Graviton4. WRF is a mesoscopic model used by thousands of users worldwide, and able to generate forecasts for a wide range of atmospheric conditions and resolutions. These forecasts serve for operational functions and research purposes. CMAQ represents state-of-the-art air quality modeling able to forecast concentration of air pollutants such as ozone, particulate matters and other toxics. -Implementation of WRF v4.6 and WPS optimized for AWS Graviton4 instances and clusters providing an optimal balance between cost and performance -Implementation of CMAQ v5.5 optimized for AWS Graviton4 instances and clusters -Excellent scalability for clusters with Elastic Fabric Adapter (EFA) -Availability of NICE-DCV connection for high-performance remote display
Highlights
- Optimized installation of WRFv4.6 version for AWS Graviton4 processors and Elastic Fabric Adapter (EFA) networking
- Optimized installation of CMAQv5.5 version for AWS Graviton4 processors
- Dual AMI functionality for single instances and clusters, which can also be used with spot prices for substantial savings
Details
Typical total price
$1.811/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
m6g.medium | $0.012 | $0.038 | $0.05 |
m6g.large | $0.024 | $0.077 | $0.101 |
m6g.xlarge | $0.047 | $0.154 | $0.201 |
m6g.2xlarge | $0.094 | $0.308 | $0.402 |
m6g.4xlarge | $0.188 | $0.616 | $0.804 |
m6g.8xlarge | $0.375 | $1.232 | $1.607 |
m6g.12xlarge | $0.563 | $1.848 | $2.411 |
m6g.16xlarge | $0.75 | $2.464 | $3.214 |
m6g.metal | $0.75 | $2.464 | $3.214 |
m6gd.medium | $0.012 | $0.045 | $0.057 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Software charges are not subscription-based, only hourly pay-as-you-go. Therefore, there are no refunds applicable.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (Arm) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
The new release (v6.0.1) of Numerical Weather Prediction & Air Quality Modeling on Graviton4 with Odycloud support upgrades the GFS and NAM downloaders by including interactive apps.
Additional details
Usage instructions
The apps work with EC2-instances powered by Graviton4 processors. Full instructions on how to launch EC2 instances and clusters are available at https://odyhpc.com/aws_marketplace/ . Launching an instance running WRF is like launching other Linux-based instances as the connection requires ssh authentication. The username is 'ubuntu' and spot instances are available per the usual conditions. Launching a cluster requires the use of AWS-ParallelCluster and full instructions on how to use the AMI are available at https://odyhpc.com/aws_marketplace-wrf_cluster/ . The clusters also allow the use of spot prices for the compute instances, which can result in significant savings.
Resources
Vendor resources
Support
Vendor support
Odycloud provides support on the use of the AMI to deploy either instances or clusters. Users can find step-by-step instructions at https://odyhpc.com/aws_marketplace/ . Additionally, if you need a more specific configuration or further tailoring, contact us and we will provide you with specific options meeting your needs. You can contact us at support@odyhpc.com for any questions or further information.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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