Technical Documentation: Difference between revisions
		
		
		
		
		
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| Line 10: | Line 10: | ||
| ! Hardware   !! Description !!  Availability | ! Hardware   !! Description !!  Availability | ||
| |- | |- | ||
| | rowspan="2" | Compute VM   ||  Up to 64 vcores and 480 GB of RAM||   10 176  | | rowspan="2" | Compute VM   ||  Up to 64 vcores and 480 GB of RAM||   10 176 cores | ||
| |- | |- | ||
|      || Up to 64 vcores and 240 GB of RAM || 7 680  |      || Up to 64 vcores and 240 GB of RAM || 7 680 cores    | ||
| |- | |- | ||
| | High Availability VM ||  Up to 64 cores and 480 GB <br> Connected to UPS and Diesel Generators || 3 072  | | High Availability VM ||  Up to 64 cores and 480 GB <br> Connected to UPS and Diesel Generators || 3 072 cores | ||
| |- | |- | ||
| | rowspan="2" | GPU   ||  Up to 2 A100-40 per VM || 20 GPU | | rowspan="2" | GPU   ||  Up to 2 A100-40 per VM || 20 GPU | ||
Revision as of 14:53, 30 October 2025
Welcome to the technical documentation wiki of the Secure Data for Health (SD4H) project. This is the primary source for users with questions on equipment and services.
Infrastructure
| Hardware | Description | Availability | 
|---|---|---|
| Compute VM | Up to 64 vcores and 480 GB of RAM | 10 176 cores | 
| Up to 64 vcores and 240 GB of RAM | 7 680 cores | |
| High Availability VM | Up to 64 cores and 480 GB Connected to UPS and Diesel Generators | 3 072 cores | 
| GPU | Up to 2 A100-40 per VM | 20 GPU | 
| Up to 2-A100-80 per VM | 8 GPU | 
| Hardware | Description | Availability | 
|---|---|---|
| Block Storage | 3 copies, all SSD | 740 TB | 
| Object Storage | S3 and Swift API | 58PB | 
| Ceph FS | High performance multi read/write NVMe | 1.2 PB | 
How to
- Store and Share data on the platform
- Networking between two projects.
- Install the OpenStack Client
- SSH to a server via Bastion
Services
- Globus Data transfer and Sharing
- Elastic HPC: High perforamce Computing in the Cloud
Object Store
- Object Store Quick Start
- Backing up Object Store buckets to tape
- Using rclone on our system