Homelab Al Server Multi GPU Benchmarks – Multiple 3090s and 3060ti mixed PCIe VRAM Performance
Looking for information on what performance you can expect on your Homelab OpenwebUI and Ollama based Ai Home server? This is the video! We will be using Llama3.1 70b and assessing Tokens per Second on many model variations. Have questions about mixed VRAM setups? Need to run your GPU on a smaller PCIe slot than a full 16x? I dive into testing to answer these questions that YOU have asked recently around mixing GPUs of different VRAM size, adding extra GPUs to your own Ai Home Based Rig.
Ai GPU Benchmarking 3090s and 3060s + VRAM Testing –
Ollama Ai Home Server Build –
Bare Metal OpenwebUI Ai Server Setup Guide –
Proxmox LXC Docker Ai Setup + GPU Passthrough –
Results Table –
GPUs reviewed
3090
3060ti
Ai Server Build
GPU Rack Frame
Gigabyte MZ32-AR0 Motherboard
RTX 3090 24GB GPU (x4)
256GB DDR4 2400 RAM
PCIe4 Risers (x4)
EPYC 7702
Corsair H170i ELITE CAPELLIX
SP3/TR4/5 Retention Kit
ARCTIC MX4 Thermal Paste
CORSAIR HX1500i PSU
4i SFF-8654 to 4i SFF-8654 (x4)
HDD Rack Screws for Fans
Chapters
0:00 Home Ai Server GPU Benchmarking
2:06 70b q8 4x 3090 + 1x 3060ti Mixed Test
6:33 70b q4 4x 3090 + 1x 3060ti Mixed Test
7:31 MZ32-AR0 Bios PCIe Configuration
8:48 Llama 3.1 70b q8 4x 3090 Test
10:00 Llama 3.1 70b q8 4x 3090 Test
11:15 70b q8 3x 3090 VRAM Test
12:39 3x 3090 LLM Benchmark
16:33 2x 3090 Llama 3.1 70b q4 Benchmark
17:00 Conclusions
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