Desmond
System Requirements
Operating System
Linux
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RedHat Enterprise Linux (RHEL) 8.8, 9.2
Please make sure the listed packages are installed:
sudo yum/dnf install <lib>
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Rocky Linux 8.8, 9.2
Please make sure the listed packages are installed:
sudo yum/dnf install <lib>
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Ubuntu 20.04 LTS and 22.04 LTS
Please make sure the listed packages are installed:
sudo apt-get install <lib>
Timeline
We aim to provide support for new operating system versions
Support cannot be provided once an OS platform version has reached "end of life" (EOL). Check with your platform provider for EOL information.
Upcoming Changes
Beginning in 2024-3, the Schrödinger software release will use Schrödinger License Manager by default. See Schrödinger License Manager Instructions.
Existing FlexNet licensing can be used with the 2024-3 release by changing the settings. See FlexNet License Instructions for 2024-3.
To view a list of recent infrastructure changes that may require changes from your IT team click here.
We support the following NVIDIA solutions:
Architecture | Server / HPC | Workstation |
Pascal |
Tesla P40 Tesla P100 |
Quadro P5000 |
Volta |
Tesla V100 |
|
Turing |
Tesla T4 |
Quadro RTX 5000 |
Ampere |
Tesla A100 |
RTX A4000 RTX A5000 |
Ada Lovelace |
L4 |
|
Hopper |
H100 |
|
Deprecated
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Support for the Tesla M40 and M60 cards is deprecated.
Notes
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We support only the NVIDIA 'recommended / certified / production branch' Linux drivers for these cards with minimum CUDA version 12.0.
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For information on pre-configured Schrödinger compatible GPU boxes see MD Compatible Systems and FEP+ Compatible Systems.
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Standard support does not cover consumer-level GPU cards such as GeForce GTX cards.
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In the 2024-2 release, the "Discounted Cores" of an L4 was decreased from 7424 to 5120. This adjustment was made to align with the L4's status as a preferred card due to its widespread availability on-premises and through cloud providers. Additionally, the L4's low power consumption, speed, and sufficient memory make it suitable for running the majority of workflows in a configuration with one GPU per node.
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If you already have another NVIDIA GPGPU and would like to know if we have experience with it, please contact our support at help@schrodinger.com.