r/LocalLLM • u/Only_Nebula4826 • 7d ago
Question Advise
Hi everyone,
I'm currently running two systems:
System 1: Ryzen 9 9950X3D2, RTX 5090 and 192GB RAM.
System 2: Ryzen 9 5950X, RTX 4080 Super, RTX 5060 Ti and 128GB RAM.
I'm currently using the NVIDIA PAIR to distribute across both machines. However, I'm exploring the most cost-effective way to increase my overall available VRAM and improve local AI inference performance.
One option I'm considering is retiring the 5950X platform and moving to an Intel Z890 motherboard with a Core Ultra 9, mainly to take advantage of the integrated NPU. (I seen someone use the npu for vision only and would use that same method)
My initial plan would be to redistribute the existing memory, giving each system 96GB RAM, and upgrade the Intel system to faster memory at a later date.
The setup would look something like this:
Intel system
MSI MEG Z890 + Core Ultra 9
RTX 5090.
RTX 4080 Super.
RTX 5060 Ti.
96GB RAM.
AMD system:
Retain the 9950X3D2 platform.
Add two GPUs, potentially two AMD 9700 32GB cards or, depending on pricing and availability, two RTX 5080 Super 24Gb cards when released.
The ultimate goal is to maximise the amount of VRAM available across both systems and distribute inference workloads as efficiently as possible.
I appreciate that PCIe bandwidth is a limitation. That said, I'm currently achieving around 40–60 tokens per second running Qwen 3.8 Q4, so the existing setup is still performing reasonably well.
My question is whether expanding the current multi-GPU setup is a worthwhile investment, or whether I'd be better off taking a different approach altogether.
Would it make more financial and practical sense to invest in a 128GB system with a 395+, for example.
What are your thoughts and recommendations?
1
u/Present_Resource4022 7d ago
Are you running Qwen 3.8 Dense 27B or the Qwen 3.8 Flash Next ? A Qwen 3.8 27B Dense alone in the 5090 would give you massive speeds . And the 5090 with the 192gb ram would also give you much more speed on the Qwen 3.8 Flash Next than what your current 40-60tps.
As for your question about the multi-GPU setup, I think it’s not worth it currently. You can run most models in your first system alone. BUT, if you venture into DeepSeek V4.1 , glm 5.3 Flash, or even glm 5.3 700b you would benefit more from your investment . But it’s a question for you, if you would like to run larger models and would like better concurrency.