local intelligence

can it run

Can the Tesla M40 (24GB, used) run gemma3 4B?

YES

Comfortably. 24GB of memory against a 5GB working set leaves headroom for context, the OS, and anything else you're running.

~24–44 tok/s

weights 3.3GB + KV cache 0.53GB at 4k context vs ~24GB usable → full. 3.8 GB needed of 24 GB usable — headroom for context

computed roofline: 288 GB/s × 0.28–0.50 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 catalog90 machines indexed · live prices · what each one can run

Specs

model file3.3GB (GGUF Q4_K_M)
minimum memory5GB working set
this machine24GB GDDR5, 288 GB/s
params4B
licensegemma
price$55

Run it

model files: hugging face ↗

easy run: ollama pull gemma3:4b

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

Alternatives

every model the Tesla M40 (24GB, used) can run — full list

tesla-p40 — the next step up from this machine's GPU

Buy

eBay (used) ↗ · Amazon ↗

2026-09-20 · ← all models on the Tesla M40 (24GB, used) · ← full hardware catalog · prices verified at source, may drift