All Reviews

AI Hardware

7 products reviewed for LLM inference & Stable Diffusion

Total Reviews

16 GB

Max VRAM tracked

70B

Largest model run

All GPUs7 Mini PCs10 AI PCs0 Accessories10

ASUS

ASUS Dual GeForce RTX 5060 Ti OC 16GB GDDR7

4.4/5

ASUS Dual GeForce RTX 5060 Ti OC 16GB GDDR7

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.

VRAM16 GB

BANDWIDTH448 GB/s

TDP180W

MAX MODEL13B (Q4 quantized)

Llama 3 7B Q478tok/s

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ASUS

ASUS Prime GeForce RTX 5070 SFF-Ready 12GB

4.5/5

ASUS Prime GeForce RTX 5070 SFF-Ready 12GB

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.

VRAM12 GB

BANDWIDTH672 GB/s

TDP250W

MAX MODEL13B (Q4 quantized)

Llama 3 7B Q4112tok/s

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GIGABYTE

GIGABYTE GeForce RTX 5070 WINDFORCE OC 12G

4.4/5

GIGABYTE GeForce RTX 5070 WINDFORCE OC 12G

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.

VRAM12 GB

BANDWIDTH672 GB/s

TDP250W

MAX MODEL13B (Q4 quantized)

Llama 3 7B Q4118tok/s

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GIGABYTE

GIGABYTE Radeon RX 9060 XT GAMING OC 16G

4.2/5

GIGABYTE Radeon RX 9060 XT GAMING OC 16G

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.

VRAM16 GB

BANDWIDTH320 GB/s

TDP160W

MAX MODEL14B (Q4) / 13B (Q8)

Llama 3 7B Q488tok/s

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MSI

MSI GeForce RTX 4070 Ti Super 16G Ventus 3X OC

4.5/5

MSI GeForce RTX 4070 Ti Super 16G Ventus 3X OC

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.

VRAM16 GB

BANDWIDTH672 GB/s

TDP285W

MAX MODEL13B (Q8 quantized)

Llama 3 7B Q4105tok/s

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MSI

MSI GeForce RTX 4090 24GB GAMING X TRIO

4.7/5

MSI GeForce RTX 4090 24GB GAMING X TRIO

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.

VRAM24 GB

BANDWIDTH1008 GB/s

TDP450W

MAX MODEL32B (Q4 quantized)

Llama 3 7B Q4128tok/s

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MSI

MSI GeForce RTX 5080 16G Gaming Trio OC

4.6/5

MSI GeForce RTX 5080 16G Gaming Trio OC

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.

VRAM16 GB

BANDWIDTH960 GB/s

TDP360W

MAX MODEL13B (full Q8)

Llama 3 7B Q4155tok/s

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