A Reddit user on r/LocalLLaMA is asking the community to help choose between three enterprise GPUs — the AMD Instinct V620, MI50, and NVIDIA V100 — all in 32GB configurations. The user currently runs a Radeon 7900 XT alongside a Ryzen 7900X on an MSI X670E motherboard with 32GB of DDR5-6000 memory, using the setup for ComfyUI workflows including LTX Video 2.3 and Flux models, plus llama.cpp inference with Gemma 4 26B at Q5 quantization.
The goal is to offload all AI workloads to the new card, leaving the 7900 XT dedicated to gaming. This reflects a growing trend among enthusiasts building heterogeneous systems that separate consumer and compute GPUs. Each candidate brings different trade-offs: the V100 offers mature CUDA ecosystem support but aging Volta architecture; the MI50 provides ROCm compatibility and FP16 throughput; the V620 sits as a lesser-known option with limited community documentation.
Windows 11 support varies significantly across these cards, with driver maturity and software stack compatibility likely determining real-world performance more than raw specifications. The user's request for benchmarks highlights a persistent gap in accessible, comparative data for enterprise hardware repurposed for local AI.
