DeepAutoQSAR
System Requirements
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 |
|
How to configure queuing system license checking with Flexible GPU licensing
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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We support NVIDIA’s Multi-Instance GPU (MIG) feature. Please make sure that MIG-enabled GPUs are being used in conjunction with a queueing system which supports this feature, see How do I make use of Multi-instance GPUs (MIG).
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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.