local intelligence

can it run

Can the RTX 5090 (32GB) run gemma3 4B?

YES

Comfortably. 32GB of memory against a 5GB working set leaves headroom for context, the OS, and anything else you're running.

~300–430 tok/s

weights 3.3GB + KV cache 0.53GB at 4k context vs ~32GB usable → full. 3.8 GB needed of 32 GB usable — headroom for context

computed roofline: 1792 GB/s × 0.55–0.80 efficiency window / 3.3GB (Q4_K_M) — bands, never points. Small models (under ~4.5B) run BELOW these bands — kernel-launch overhead keeps them from saturating bandwidth (measured against community medians, 09-06).

explore the full catalog84 machines indexed · live prices · what each one can run

Specs

model file3.3GB (GGUF Q4_K_M)
minimum memory5GB working set
this machine32GB GDDR7
params4B
licensegemma
price$5000

Run it

model files: hugging face ↗

easy run: ollama pull gemma3:4b

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

Alternatives

every model the RTX 5090 (32GB) can run — full list

RTX PRO 6000 Blackwell (96GB) — upgrade path machine

Buy

B&H Photo ↗ · Amazon ↗ · Amazon ↗

2026-09-17 · ← all models on the RTX 5090 (32GB) · ← full hardware catalog · prices verified at source, may drift