Two Radeon Instinct MI50 cards limited to 145W each are benchmarked with llama.cpp Vulkan across dense and MoE models, with MoE models far ahead of dense ones.
GPU model
Capacity range
Total VRAM
Practice
Model
Quantization
Context length
Reported speed
Runtime
Tools / workflow
Record origin
EXPLORE BY CAPACITY
Start with your machine.
Capacity is the reported total for this setup. Multi-GPU and unified-memory layouts can behave differently.
8 GB or lessLaptops, iGPUs and modest cards9–12 GBEntry-level local inference13–16 GBCurrent mid-range cards17–20 GBRX 7900 XT and compact pro cards21–24 GB3090, 4090 and 7900 XTX class25–32 GB5090 and workstation cards33–48 GBWorkstation and multi-GPU setups49–96 GBLarge multi-GPU and datacenter setups97 GB+Unified memory, servers and clusters
3 resultsEvery record keeps its origin visible.
Research & analysisGenesis archive2026-10
Dual Radeon Instinct MI50 benchmarks: dense models at 12 to 18 tok/s, MoE models at 47 to 61 tok/sResearch & analysisGenesis archive2026-09
A 128GB Strix Halo research stack, with a warning against smaller machinesA researcher runs Qwen 3.8 Flash Next and Gemma 4 31B on a 128GB Strix Halo, splitting strategy and summarisation across models and advising against 64GB machines.
Research & analysisGenesis archive2026-09
Turning an hour of stock research per ticker into minutesLocal models take over the reading and summarizing side of manual stock analysis, cutting a research routine from hours a day to a few hours a week.