All Reviews
7 products reviewed for LLM inference & Stable Diffusion
27
Total Reviews
16 GB
Max VRAM tracked
70B
Largest model run
The ASUS Dual RTX 5060 Ti 16GB brings Blackwell architecture and 16GB GDDR7 to the entry-level discrete GPU tier — the only way to get 16GB VRAM at this price point in 2026. For local AI builders who need 13B model headroom on a tight budget, it runs SDXL and quantized LLMs fully in VRAM while staying under 180W.
The ASUS Prime RTX 5070 SFF-Ready is a 2.5-slot Blackwell GPU built for compact Mini-ITX builds. With 12GB GDDR7 at 672 GB/s and triple Axial-tech fans with a phase-change thermal pad, it delivers full RTX 5070 performance in the smallest possible footprint — ideal for building a custom compact AI workstation.
The GIGABYTE RTX 5070 WINDFORCE OC 12G brings NVIDIA Blackwell architecture and 5th-Gen Tensor Cores to the mid-range market. With 12GB GDDR7 at 672 GB/s, it excels at Stable Diffusion, ComfyUI, and quantized 7B–13B LLM inference — cooled by GIGABYTE's server-grade thermal gel WINDFORCE system.
The GIGABYTE RX 9060 XT GAMING OC 16G is the VRAM champion at its price tier. Powered by AMD RDNA 4 with 16GB GDDR6, it runs 13B+ LLMs comfortably where 12GB NVIDIA cards hit their ceiling. The WINDFORCE cooling with graphene nano lubricant handles sustained AI workloads — if you can navigate AMD's ROCm ecosystem.
The MSI RTX 4070 Ti Super Ventus 3X OC pairs Ada Lovelace architecture with 16GB GDDR6X at 672 GB/s — the same memory bandwidth as the newer RTX 5070, but with 4GB more VRAM at a lower price point. For local AI builders who need 13B Q8 headroom without paying for Blackwell, this is the value pick in the 16GB GPU tier.
The MSI RTX 4090 is the previous-generation flagship — and still the most capable GPU for local LLM inference at 24GB GDDR6X and 1008 GB/s bandwidth. With 24GB VRAM, it runs 32B models at Q4 quantization fully in GPU memory, making it the only consumer GPU under $2000 with a clear path to larger models without CPU offloading.
The MSI RTX 5080 Gaming Trio OC is NVIDIA's near-flagship Blackwell GPU, delivering 960 GB/s GDDR7 bandwidth with 16GB VRAM — fast enough to run 13B models at full Q8 precision and generate FLUX.1 images in under 2 seconds. The TRI FROZR 4 cooler keeps thermals flat during sustained AI inference without the size or power draw of the RTX 5090.
