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From the RX 7900 XTX 24 GB to the RTX 5090 32 GB: what changes for local AI

The change you would notice first: LTX-2.5 (22B) goes from a Q6_K file to Q8_0, entirely in VRAM. 3 other models reach 8-bit or better too, and 9 more get a better file.

24 GB GDDR6 · 384-bit · 960 GB/s · RDNA 332 GB GDDR7 · 512-bit · 1792 GB/s · BlackwellData 2026-10-01
4newly run well
9better file
37no change
+8GB more VRAM

01Newly runs well

ModelOn the RX 7900 XTX 24 GBOn the RTX 5090 32 GBNeeded
LTX-2 (19B)Runs Q6_KRuns well Q8_025.2 GB
LTX-2.3 (22B)Runs Q6_KRuns well Q8_027.6 GB
LTX-2.5 (22B)Runs Q6_KRuns well Q8_028.4 GB
MiniMax H3 PrunedRuns Q6_KRuns well FP826.8 GB

“Runs well” means a 16-bit or 8-bit file fits entirely in VRAM.

02A better file, or less offloading

ModelOn the RX 7900 XTX 24 GBOn the RTX 5090 32 GBNeeded
FLUX.1 [dev]Runs well Q8_0Runs well 16-bit26.1 GB
FLUX.1 [schnell]Runs well Q8_0Runs well 16-bit26.1 GB
FLUX.1 Kontext [dev]Runs well Q8_0Runs well 16-bit26.4 GB
FLUX.1 Krea [dev]Runs well Q8_0Runs well 16-bit26.1 GB
FLUX.1 Fill [dev]Runs well Q8_0Runs well 16-bit26.4 GB
FLUX.2 [dev]Runs Q4_K_MRuns Q6_K30.7 GB
Krea 2 (Turbo)Runs well Q8_0Runs well 16-bit28.9 GB
HunyuanVideo (13B, original)Runs well Q8_0Runs well 16-bit29.9 GB
MiniMax H3 (33B)Tight Q3_K_MRuns Q5_K_M29.7 GB

04Speed and features

Memory bandwidth goes from 960 to 1792 GB/s (×1.87). A rough guide to speed, not a benchmark. The RTX 5090 32 GB computes FP8 natively, so FP8 files run faster there than on the RX 7900 XTX 24 GB, which only uses them to save memory. It also adds FP4 (NVFP4) hardware, for models that ship NVFP4 files. Switching from AMD to NVIDIA also changes the software route (CUDA, ROCm or XPU) and which custom nodes work; see the AMD and Intel guide.