- Joined
- Nov 5, 2012
- Messages
- 153 (0.03/day)
- Location
- Los Angeles
System Name | HP ProLiant DL360P G8 |
---|---|
Processor | 2x Xeon e2690 |
Motherboard | HP |
Cooling | 6 Delta fans |
Memory | 192gb ECC ddr3 @1333 |
Video Card(s) | Quadro k4200 |
Storage | 4x 1.2TB Dell SAS raid 0 |
Display(s) | iDrac over IP |
Case | HP 1U |
Power Supply | 2x 1100w Platinum PSUs |
Mouse | iDrac |
Keyboard | iDrac |
Software | Windows Server 2019 |
I find it incredibly interesting, and I mean no disrespect to you, your research, your field of study, and neither your environment. I am simply talking at a more general level, one in which most end users would not need such high amounts of ram.Large scale Bioinformatics are crazy on computation power. Don't you find it amazing we manage to package such colossal amount of data into almost all of our individual cells? Our cells and genes are the true super quantum computers.
I too have ran computational simulations (one of which involved thermal trajectories for specific types of materials under alien atmospheres for JPL) but even after doing so, the hardware was so task-specific, each cluster only had about 10tb of ram in total. (about 64gb per rack)