Fastest GPU for Llama 3.3 70B (local, 2026)
Llama 3.3 70B has become the default open-weights 70B baseline. Here's the fastest decode tok/s submitted across every GPU and Apple Silicon class on the leaderboard.
No Llama-3.3-70B or Llama-3.1-70B submissions yet to call a winner. Be the first — run the suite on any 70B-class Llama and this section will lead with your decode tok/s, on your hardware. In FP16 the model needs ~140 GB of memory; in 4-bit, ~40 GB plus KV cache.
No data submitted for this task yet.
Run the suite to be the first benchmark for this guide:
$ pipx install llm-speed && llm-speed bench
Llama 3.3 70B in 4-bit quantization needs ~40 GB of memory plus KV cache; in FP16 / BF16 it needs ~140 GB. That's the constraint that picks your hardware: a single H100 80 GB or MI300X 192 GB swallows the BF16 model whole; a pair of 3090s or 4090s (48 GB combined VRAM) handles the 4-bit Q4_K_M; an M3 Ultra or M4 Max sidesteps the VRAM ceiling via unified memory. Below is every submitted Llama-3.3-70B run, ranked by decode tok/s. The headline number is the fastest local rig on the leaderboard — not a fabricated estimate. When data is sparse, the table is the empty-state CTA.
Side-by-side comparisons
See also: All hardware · All models · Methodology