NVIDIA RTX 4080 Super

The RTX 4080 Super is NVIDIA's updated high-end Ada Lovelace GPU with 16 GB of GDDR6X memory at 736 GB/s bandwidth. Launched at $999 MSRP, it replaced the original RTX 4080 with a price cut and minor clock speed bump. For local AI, it offers a similar VRAM ceiling to the RTX 5070 Ti but with older GDDR6X memory and lower bandwidth.

Quick verdict

The RTX 4080 Super is a capable local AI card if you can find one at or near MSRP. Its 16 GB VRAM runs Qwen3-30B at Q4_K_M and Mistral Small 3 comfortably. But at $999+, the RTX 5070 Ti offers similar performance with newer GDDR7 memory, and used RTX 4090s sometimes dip near this price with 50% more VRAM.

Spec breakdown

• VRAM: 16 GB GDDR6X
• Memory bandwidth: 736 GB/s (23 Gbps)
• TDP: 320 W (recommend 750W+ PSU)
• PCIe: 4.0 ×16
• Architecture: Ada Lovelace AD103-400
• CUDA cores: 10,240
• Tensor cores: 320 (4th gen)

Real-world AI inference

Model	Tokens/sec	Source
Qwen3-30B Q4_K_M	~18 tok/s	r/LocalLLaMA
Mistral Small 3 Q5_K_M	~38 tok/s	Community
Llama 3.3 70B Q3_K_M	~9 tok/s	Offload needed
ComfyUI SDXL (1024×1024)	~10 s/image	Community
ComfyUI Flux Dev	~30 s/image	Community

Best models that fit

• Q4_K_M: Qwen3-30B - comfortable fit
• Q5_K_M: Mistral Small 3 - good fit
• Q8_0: 7-13B models with full precision
• Q3_K_M: Llama 3.3 70B - requires partial offload

Where to buy

Affiliate disclosure: links below earn us a small commission.

• Amazon: Button above

Honest alternatives

• RTX 5070 Ti (~$900): Same VRAM, GDDR7, similar price
• RTX 4090 used (~$1,300): 24 GB VRAM, worth the stretch if affordable
• RTX 5080 (~$1,300): Newer architecture, similar VRAM

What the community says

"The 4080 Super is a solid card. 16GB is enough for 30B models, and 736 GB/s is decent for prompt processing. It's just hard to recommend at $999 when 5070 Ti exists."

• u/gpu-shopper on r/LocalLLaMA, 89 upvotes