NVIDIA RTX 5080

The RTX 5080 is NVIDIA's high-end Blackwell GPU offering 16 GB of GDDR7 memory at 960 GB/s bandwidth for a $999 MSRP. It slots between the RTX 5070 Ti and the flagship RTX 5090, offering solid 4K gaming performance and respectable local AI inference capabilities. While the 16 GB VRAM limits which models you can run at higher quants, the GDDR7 memory bandwidth means what does fit runs fast.

Quick verdict

If you...	Then...
...already have an RTX 4080 Super	Skip - only ~10-15% raw uplift. Not worth $1000+
...have an RTX 3080 or older	This is a massive upgrade. ~2× the performance, 60% more VRAM
...want to run Qwen3-30B comfortably	Perfect match at Q4_K_M with ~22 tok/s
...need 70B models	Look at the RTX 5090 or a dual-GPU setup
...primarily do image gen (SDXL/Flux)	Excellent throughput, but 16GB is tight for Flux

Spec breakdown

• VRAM: 16 GB GDDR7
• Memory bandwidth: 960 GB/s (30 Gbps effective)
• TDP: 360 W (recommend 850W+ PSU)
• PCIe: 5.0 ×16
• Architecture: Blackwell GB203-400
• CUDA cores: 10,752
• Tensor cores: 336 (5th gen)
• Power connector: 1× 12V-2×6 (16-pin)

Real-world AI inference

Tested on common model configurations (Q4_K_M, 2k context unless noted):

Model	Tokens/sec	Source
Qwen3-30B Q4_K_M	~22 tok/s	r/LocalLLaMA
Mistral Small 3 Q5_K_M	~48 tok/s	Community benchmarks
Llama 3.3 70B Q3_K_M (offload)	~11 tok/s	r/LocalLLaMA
ComfyUI SDXL (1024×1024)	~9 s/image	Community
ComfyUI Flux Dev	~28 s/image	Community

Best models that fit

The 16GB VRAM ceiling puts the RTX 5080 in a specific sweet spot:

• Q4_K_M: Qwen3-30B (~18 GB) - fits comfortably at modest context
• Q5_K_M: Mistral Small 3 (~17 GB) - good fit
• Q8_0: 13-14B models like Qwen3-14B - plenty of room
• Q4_K_M (tight): Llama 3.3 70B at Q3_K_M fits via partial offload

Cost vs cloud

At $1,000-1,300, if you spend $50/month on API calls for coding assistance and LLM queries, the RTX 5080 pays back in ~20-26 months. For heavy users spending $150+/month, it's more like 7-9 months.

Where to buy

Affiliate disclosure: links below earn us a small commission at no cost to you.

• Amazon: Check current pricing via button above
• Newegg: Sometimes has better stock availability
• B&H Photo: No tax in most states, good for workstation builds

Honest alternatives

• RTX 5090 (~$2,200): Double the VRAM (32 GB), 70B models fit at Q4
• RTX 4090 used (~$1,300): 24 GB VRAM, slower bandwidth but more model flexibility
• RTX 5070 Ti (~$900): Same 16 GB, slightly slower, cheaper

What the community says

"The RTX 5080 is exactly what I expected - a solid generational bump over the 4080 Super. Qwen3-30B at 22 tok/s is my daily driver now. I just wish it had 20GB for that extra headroom."

• u/blackwell-early on r/LocalLLaMA, 156 upvotes