HARDWARE · BLACKWELL MID-HIGH · 16 GB
NVIDIA RTX 5080
Same 16 GB ceiling as the 5060 Ti, twice the bandwidth.
Blackwell architecture + GDDR7 at 960 GB/s buys you ~30–40% more tok/s than the 5060 Ti 16 GB, but the VRAM ceiling is identical. If your work lives in the 8B–14B dense band, this is the honest Blackwell pick; if you need 30B-A3B MoE with headroom, you need more memory.
The decision in five lines
- The call
- Buy — Same 16 GB ceiling as the 5060 Ti, twice the bandwidth.
- Best for
- Blackwell mid-high
- Runs well
- Qwen3-14B · Qwen 3.5 9B · Qwen 3.5 9B + RAG
- Watch out
- Blackwell driver + llama.cpp maturity has improved through 2026 (5–8% gains in late-April builds, ~48–54 tok/s on Qwen 3 27B Q4 vs 44.9 tok/s on 8B at launch) but still trails RTX 3090 on a per-tok/s basis. Check recent llama.cpp build notes before buying for pure inference.
- Evidence
- Estimated
- 16
- GB GDDR7
- 960
- GB/S BANDWIDTH
- 360
- W TDP
- ~$999
- MSRP (INCONSISTENT)
What fits at this tier
Fits 8B and 14B dense at Q4 cleanly with room for 16–32K context. 30B-A3B MoE Q4 (~17 GB) doesn't fit; Q3 is the workable path at this tier. Measured TG: late-April 2026 driver builds put 5080 at ~48–54 tok/s on Qwen 3 27B Q4 in LM Studio benches — up from 44.9 tok/s on 8B at launch. Driver maturity has improved 5–8% since February but still trails RTX 3090 (92.5 tok/s on 8B Q4).
The call
Buy it if you want Blackwell-generation driver support and the extra bandwidth headroom over the 5060 Ti, and you'll stick to 14B-class models. Also buy if you want the newest GPU in the lineup for game + AI duty.
Skip it if you want 24 GB — at $999–$1,250 you're within $400 of a used RTX 3090 24 GB ($800) or $700 of a new RTX 4090 24 GB ($1,600). Either gives more MoE 30B-A3B headroom than the 5080.
Watchouts
- Blackwell driver + llama.cpp maturity has improved through 2026 (5–8% gains in late-April builds, ~48–54 tok/s on Qwen 3 27B Q4 vs 44.9 tok/s on 8B at launch) but still trails RTX 3090 on a per-tok/s basis. Check recent llama.cpp build notes before buying for pure inference.
- MSRP $999 is occasionally hit at Newegg / Amazon Prime but most AIB cards sit $1,200–$1,400 through June 2026; 3rd-party Amazon listings have crept to $1,409. Top-tier OC variants still reach $1,799; none of the premium buys you more AI throughput.
- PCIe 5.0 x16 is the speed, but most boards will slot it at x8 if you also install a capture card or second GPU — fine for inference, not great for training.
- 12VHPWR connector: follow the re-seat guidance. Native dual-cable 12V-2x6 PSU is the safe path.
Local vs cloud at this tier
● LOCAL WINS
Modern Blackwell featureset (FP8/FP4 where llama.cpp supports it), fast 8B/14B dense, cleanest new-GPU warranty path in the lineup.
● CLOUD WINS
Cloud wins hard at this tier for MoE 30B-A3B — the 16 GB ceiling locks you out. Also wins on first-day model access and anything frontier.
Coherent only if you specifically want a new Blackwell card for mixed gaming + local AI use, and you'll live within 14B dense. For pure inference under $1,400, a used RTX 3090 or new RTX 4090 is the better memory-per-dollar answer.
Next step
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