Hi,
I recommend #3 with consumer grade cards.
32GB GPU RAM is not useful, unless you works on a huge virus
at high-resoluion. Note that 11 GB RAM can handle up to a 500 px
box at pad 2 or a 1000 px box at pad 1.
Best regards,
Takanori Nakane
> Dear all,
>
> At Weill Cornell Medicine we are in the process of expanding our
> computational resources to process cryoEM data. For technical reasons we
> will adopt a model where multiple nodes operate as virtual workstations
> that run independently with a queue system for users. In this expansion,
> we are looking to purchase multiple nodes, with exact numbers depending on
> the configuration/price of the nodes.
>
> We are discussing with our Scientific Computing Unit on what is the
> optimal configuration for these nodes and we have 3 possibilities listed
> below. For reference, most of us work on membrane channels/transporters,
> often reconstituted in nanodiscs.
>
> We would like to have suggestions on whether these specs are appropriate
> for our purposes or if they are overkill and current software would not
> take advantage of the specs of the hardware. Additionally, one important
> aspect to consider is the choice of using professional grade (options #1
> and #2) or consumer grade (option #3) hardware.
>
> #1 Dell server
> CPU: Intel Xeon Gold 6148
> Memory: 384GB
> SSD: 6.4TB Samsung HLLL
> GPU: 4 x v100 32GB NVLINK
> Chassis size: 1U
> Power: 2 x 2400W
> Support: 5 years, NBD Onsite
> Price: $33,326
>
> #2 Penguin server
> CPU: Intel Xeon Gold 6148
> Memory: 384GB
> SSD: 6.4TB Micron NVMe
> GPU: 4 x v100 32GB PCIe
> Chassis size: 2U
> Power: 2 x 1600W
> Support: 5 years, parts mailed
> Price: $35,009
>
> #3 Exxact workstation
> CPU: Intel Xeon Gold 6148
> Memory: 384GB
> SSD: 2 x 3.8TB RAID 0
> GPU: 4 x RTX 2080 TI 11GB
> Chassis size: 4U
> Power: 2 x 2000W
> Support: 5 years, parts mailed
> Price: $20,079
>
>
> If anyone prefers, please email me directly at [log in to unmask]
>
> Thank you very much for your help and suggestions.
>
> Alessio Accardi
>
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