▲ local intelligence

can it run

Can the RTX 5080 (16GB) run qwen3 14B?

TIGHT

Yes, but close to the edge. 16GB against a 12GB working set: it runs, with little room for long context windows or other processes.

~52–83 tok/s

weights 9.3GB + KV cache 0.62GB at 4k context vs ~16GB usable → full. 9.9 GB needed of 16 GB usable — headroom for context

computed roofline: 960 GB/s × 0.50–0.80 efficiency window / 9.3GB (Q4_K_M) — bands, never points.

→explore the full catalog91 machines indexed · live prices · what each one can run

Specs

model file9.3GB (GGUF Q4_K_M)
minimum memory12GB working set
this machine16GB GDDR7
params14B
licenseapache-2.0
price$1400

Run it

model files: hugging face ↗

easy run: ollama pull qwen3:14b

runs with: ollama · llama.cpp · koboldcpp · lm studio

Alternatives

→ Tesla M40 (24GB, used) — cheapest machine that runs it ($50)

→ ASUS ExpertCenter Pro ET900N G3 (GB300) — this model on the biggest machine

→ every model the RTX 5080 (16GB) can run — full list

→ rtx-5090 — the next step up from this machine's GPU

Buy

Amazon ↗ · Newegg ↗ · Amazon ↗ (affiliate)

2026-10-01 · ← all models on the RTX 5080 (16GB) · ← full hardware catalog · prices verified at source, may drift