MachineList
Math Department Linux Machines
This is a list of department machines that you may use remotely. All of these machines have the standard set of packages. This list is not complete and it is changing constantly, so check back from time to time.
You can connect to the machines using their complete domain name, such as squid2.math.cornell.edu
The easiest way to connect to these machines is through the Math Portal.
Offsite Cloud Machines
In addition to the machines below, it's now possible to launch a fully-configured Math machine, with all software, licenses, and access to your files, at cloud providers such as Cornell Center for Advanced Computing, or Amazon AWS. These machines appear on the Math network just like other Math machines and are accessed in the same way. These cloud machines can be very large and fast, or include top of the line GPUs. The cloud machines are pay-as-you-go, rounded up to the next hour. For always-on computers like the ones at the Math department, these cloud machines would be very expensive. However, for fixed-duration use, they can be a fantastic bargain. Eventually there will be a self-service page for this, but for now, if you want more information about using Cloud computing resources, email mathsystems@cornell.edu.
Dedicated Computation Machines
| Hostname | Processor | Cores / Threads | RAM | GPU | Net |
| ramsey | AMD Ryzen 9 5950x | 16/32 | 128GB | RTX 3080Ti | 10Gb |
| fibonacci | AMD Ryzen 9 5950x | 16/32 | 128GB | RTX 3080Ti | 10Gb |
| boole | AMD Ryzen 9 5950x | 16/32 | 128GB | RTX 3080Ti | 10Gb |
| squid1 | i7-6700k CPU @ 4.0GHz | 4/8 | 64GB | RTX 2080 Ti | 10Gb |
| squid2 | i7-6700k CPU @ 4.0GHz | 4/8 | 64GB | RTX 2080 Super | 10Gb |
| kraken | Quad Opteron | 64/64 | 512GB | N/A | 1Gb |
| heaviside | Xeon E5-2640 | 12/24 | 256GB | N/A | 10Gb |
| hopper | Xeon E5-2640 | 16/32 | 256GB | N/A | 10Gb |
Virtual Machines
These are virtual machines made available with extra resources from the department servers.
NOTE: These machines are available but their memory and cpu count are subject to change.
| Hostname | Processor | vCores | RAM | GPU | Net |
| conway | VM on AMD Epyc Milan | 14 | 64GB | N/A | 10Gb |
| dynkin | VM on AMD Epyc Milan | 14 | 64GB | N/A | 10Gb |
Private Machines
These machines are the property of faculty members and may only be used with their permission.
| Hostname | Processor | Cores / Threads | RAM | GPU | Net | Owner |
| leo | Xeon E5-2698 | 40/80 | 256GB | N/A | 10Gb | A. Townsend |
| wooster | AMD Ryzen 9 5950x | 16/32 | 128GB | RTX 3080Ti | 1Gb | D. Barbasch |
| zeno | AMD Ryzen 9 5950x | 16/32 | 128GB | RTX 3080Ti | 10Gb | A. Vladimirsky |