Overview
EXAScaler Cloud filesystem based on Lustre is purpose-built for big data workloads like AI and HPC. Suited for dynamic, on-demand applications, from rapid simulation and prototyping to cloud bursting, EXAScaler Cloud maximizes storage performance and cost-efficiency.
Highlights
- On-demand Flexibility: Ideally suited for dynamic, pay-as-you-go applications, from rapid simulation and prototyping to cloud bursting peak HPC workloads from on premises deployments.
- Administrative Simplicity: Maintain a common management experience across on premises and cloud data.
- Cloud Efficiency: Optimize the performance of analytics and other compute-intensive applications in the cloud.
Details
Typical total price
$2.853/hour
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t3.micro AWS Free Tier | $0.024 | $0.039 | $0.063 |
t3a.micro | $0.024 | $0.038 | $0.062 |
m4.large | $0.048 | $0.129 | $0.177 |
m4.xlarge | $0.096 | $0.258 | $0.354 |
m4.2xlarge | $0.192 | $0.515 | $0.707 |
m4.4xlarge | $0.384 | $0.973 | $1.357 |
m4.10xlarge | $0.96 | $2.432 | $3.392 |
m4.16xlarge | $1.536 | $3.891 | $5.427 |
m5.large | $0.048 | $0.125 | $0.173 |
m5.xlarge | $0.096 | $0.25 | $0.346 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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Delivery details
64-bit (x86) 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
Servers are running EXAScaler 5.2.2 on RHEL7.10
Additional details
Usage instructions
Log into the "MGT" instance and run the following command as root to learn the MGS NID for the client mount command: "lctl list_nids" This will give you a NID something like 10.0.2.13@tcp, which can be added to a client mount command (adjust NID and filesystem name for actual values): "mount -tlustre 10.0.2.13@tcp:/scratch /mnt/scratch If this command completes successfully, you will have an active Lustre mount.
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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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