Is DDR4 RAM Adequate for Workstations in 2025?
Is DDR4 RAM Adequate for Workstations in 2025?
Yeah, dual slot board is not sufficient. Not to mention the motherboard is likely to falter running the larger CPUs.
GF A3 is a okay PSU, I suppose we can keep that and the SSD. Not exactly comfortable with a 750W and a 5070 Ti though... Maybe squeeze in a 850W unit.
PCPartPicker Part List
CPU:
AMD Ryzen 9 9950X 4.3 GHz 16-Core Processor
($523.04 @ Amazon)
CPU Cooler:
Thermalright Phantom Spirit 120 SE 66.17 CFM CPU Cooler
($35.90 @ Amazon)
Motherboard:
ASRock X870 Pro RS WiFi ATX AM5 Motherboard
($219.99 @ Amazon)
Memory:
G.Skill Flare X5 96 GB (2 x 48 GB) DDR5-5600 CL40 Memory
($214.99 @ Amazon)
Video Card:
MSI SHADOW 3X OC GeForce RTX 5070 Ti 16 GB Video Card
($852.98 @ Newegg)
Case:
be quiet! Pure Base 501 Airflow ATX Mid Tower Case
($110.99 @ Newegg)
Case Fan:
be quiet! Pure Wings 3 57.4 CFM 140 mm Fan
($12.90 @ Amazon)
Case Fan:
be quiet! Pure Wings 3 57.4 CFM 140 mm Fan
($12.90 @ Amazon)
Total:
$1983.69
Prices include shipping, taxes, and discounts when available
Generated by
PCPartPicker
2025-05-16 16:02 EDT-0400
It depends on whether the other components can handle it. I wouldn’t rush a complete platform upgrade solely because of DDR5. Raising the capacity to 64GB could be worthwhile. If you’re content with the current performance, spending thousands isn’t necessary. You might also consider investing in a more powerful GPU instead.
Based on the available budget, I’d likely begin evaluating Xeon, EPYC or Threadripper workstations equipped with quad channel memory. If your department’s requirements are growing, start with 128GB (ECC) RAM and consider scaling up to 256GB/512GB/1TB as needed.
A motherboard supporting 8/12/16 DIMM slots enables upgrades without replacing existing RAM. You could also boost capacity using RDIMM or LRDIMM modules on a compatible board.
https://corewavelabs.com/lrdimm-vs-rdimm-vs-udimm/
I wouldn’t fixate too much on DDR4 versus DDR5 or raw speed (in terms of MT/s). What you’re likely after is memory bandwidth, which quad or 8-channel workstation or server CPUs can provide.
If your simulations and models require GPU acceleration and rapid processing, think about professional GPU support, such as a 48GB RTX 6000 Ada. For heavy workloads with substantial budgets, you might even integrate multiple GPUs into a dedicated chassis. That’s costly but effective.
Sharing details about the commercial programs you use and your budget would help tailor more accurate advice.
You should be able to locate hardware suggestions on manufacturers’ websites; they usually specify minimum requirements for their software, though choosing recommended options can offer better future-proofing.
As @Eximo suggests, perform a cost/benefit analysis and then advocate for additional funds with your finance team. I’ve been there.
Good luck.
We are open to discussing the programs we currently run and your suggested budget. Our laboratory relies on SolidWorks, ANSYS, and COMSOL for modeling and simulations. As systems grow more complex, our existing workstation starts to show limitations, especially during intensive simulations and rendering processes. Beyond CAE tools, we utilize machine learning platforms like TensorFlow and PyTorch for extensive calculations. These demanding tasks place significant strain on our hardware, particularly during model training and inference phases. Our research also incorporates additional scientific and engineering applications such as Gaussian, ORCA, VASP, Quantum ESPRESSO (for quantum chemistry and DFT), OpenFOAM, Simulia Abaqus (CFD and advanced FEM), LAMMPS, GROMACS, NAMD (molecular dynamics), MATLAB with specialized toolboxes, ParaView, and VTK (for visualization). Our goal is to develop a scalable solution that meets our research needs in terms of computing power and memory bandwidth, while staying within a budget of 2000 USD. Thank you for your valuable input, which is assisting us in making informed choices.
There is no official support for GeForce cards. It might function, but results could differ.
PCPartPicker Part List
CPU: AMD Ryzen 9 9900X 4.4 GHz 12-Core Processor ($380.26 @ Amazon)
CPU Cooler: Thermalright Frost Commander 140 BLACK 95.5 CFM ($63.90 @ Amazon)
Motherboard: Gigabyte B850 GAMING X WIFI6E ATX AM5 ($189.99 @ Amazon)
Memory: Patriot Viper Venom 64 GB (2 x 32 GB) DDR5-6400 CL32 ($154.99 @ Newegg)
Storage: Inland Performance Plus 1 TB M.2-2280 PCIe 4.0 X4 NVME ($74.98 @ Amazon)
Storage: Inland Performance Plus 2 TB M.2-2280 PCIe 4.0 X4 NVME ($134.99 @ Amazon)
Video Card: PNY VCNRTX2000ADA-PB RTX 2000 Ada Generation 16 GB ($715.99 @ Newegg)
Case: Fractal Design Pop Air ATX Mid Tower ($89.98 @ Newegg)
Power Supply: SeaSonic CORE GX ATX 3 (2024) 750 W (80+ Gold Certified Fully Modular) ($99.99 @ Newegg)
Total: $1905.07
All prices contain shipping, taxes, and applicable discounts
Created by PCPartPicker
May 21, 2025 15:10 EDT-0400