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gemma-4-31B-it

Google · 30.7B · ctx 256K · apache-2.0 · HuggingFace

gemma-4-31B-it (Google) is a 30.7B parameters open-weight model tracked on AI Hashrate. At 8K context we estimate roughly 24.03 GB VRAM for Q4 (weights 16.89 GB + KV 6.14 GB + 1 GB overhead) and 68.54 GB for FP16. About 16 GPUs/accelerators in our catalog fully fit this model at Q4 under that context assumption. Fastest Q4 configs: B200 192GB SXM ≈ 165.8 tok/s (estimated); MI300X 192GB ≈ 109.9 tok/s (estimated); H200 141GB SXM5 ≈ 99.5 tok/s (estimated); H100 80GB SXM5 ≈ 69.4 tok/s (estimated); Gaudi 3 128GB ≈ 67.9 tok/s (estimated). Use the table below for VRAM fit and tok/s per dollar (list MSRP). Estimates follow memory-bandwidth math; measured rows override when present. See methodology for details. Methodology.

72 hardware configs — sorted by tok/s. Default fit context 8K.

HardwareVRAMQuanttok/sFits?tok/s/$
B200 192GB SXM192Q4165.8 est.Yes0.004
MI300X 192GB192Q4109.9 est.Yes0.007
H200 141GB SXM5141Q499.5 est.Yes0.003
H100 80GB SXM580Q469.4 est.Yes0.002
Gaudi 3 128GB128Q467.9 est.Yes0.005
RTX 4090 24GB24Q459.5 est.No0.037
RTX 4090D 24GB (China)24Q459.5 est.No0.037
RTX 3090 Ti 24GB24Q459.5 est.No0.03
RX 7900 XTX 24GB24Q456.7 est.No0.057
RTX 3090 24GB24Q455.3 est.No0.037
B200 192GB SXM192FP1645.6 est.Yes0.001
A100 80GB SXM480Q442.3 est.Yes0.003
RTX 5090 32GB32Q437.1 est.Yes0.019
RX 7900 XT 20GB20Q432.8 est.No0.036
MI300X 192GB192FP1630.2 est.Yes0.002
H200 141GB SXM5141FP1627.4 est.Yes0.001
RTX 5080 16GB16Q425.2 est.No0.025
RTX 5070 Ti 16GB16Q423.5 est.No0.031
RTX 6000 Ada 48GB48Q419.9 est.Yes0.003
RTX 4080 Super 16GB16Q419.3 est.No0.019
H100 80GB SXM580FP1619.1 est.Yes0.001
Gaudi 3 128GB128FP1618.7 est.Yes0.001
L40S 48GB48Q417.9 est.Yes0.002
RTX 4070 Ti Super 16GB16Q417.6 est.No0.022
Mac Studio M3 Ultra 96GB96Q417.0 est.Yes0.004
RX 9070 16GB16Q416.8 est.No0.031
RX 9070 XT 16GB16Q416.8 est.No0.028
Mac Studio M2 Ultra 192GB192Q416.6 est.Yes0.002
RX 7800 XT 16GB16Q416.4 est.No0.033
RTX A6000 48GB48Q415.9 est.Yes0.004
RX 7900 GRE 16GB16Q415.1 est.No0.028
Arc A770 16GB16Q414.7 est.No0.042
RTX 5060 Ti 16GB16Q411.8 est.No0.028
A100 80GB SXM480FP1611.6 est.Yes0.001
MacBook Pro M4 Max 128GB128Q411.3 est.Yes0.003
RTX 5070 12GB12Q49.9 est.No0.018
T4 16GB16Q48.4 est.No0.004
MacBook Pro M3 Max 128GB128Q48.3 est.Yes0.002
RTX 4070 Ti 12GB12Q48.2 est.No0.01
RTX 3080 10GB10Q47.8 est.No0.011
RTX 6000 Ada 48GB48FP167.7 est.No0.001
RTX 4060 Ti 16GB16Q47.6 est.No0.015
RX 7600 XT 16GB16Q47.6 est.No0.023
RTX 4070 12GB12Q47.4 est.No0.012
RTX 4070 Super 12GB12Q47.4 est.No0.012
L40S 48GB48FP166.9 est.No0.001
Arc B580 12GB12Q46.7 est.No0.027
RTX 5090 32GB32FP166.4 est.No0.003
RX 7700 XT 12GB12Q46.4 est.No0.014
RTX A6000 48GB48FP166.1 est.No0.001
Mac mini M4 Pro 64GB64Q45.7 est.Yes0.003
RTX 3060 12GB12Q45.3 est.No0.016
Mac Studio M3 Ultra 96GB96FP164.7 est.Yes0.001
Mac Studio M2 Ultra 192GB192FP164.6 est.Yes0.001
Arc B570 10GB10Q43.9 est.No0.018
Mac mini M4 Pro 64GB64FP163.9 est.No0.002
MacBook Pro M4 Max 128GB128FP163.1 est.Yes0.001
RTX 5060 8GB8Q42.9 est.No0.01
RTX 5060 Ti 8GB8Q42.9 est.No0.008
RTX 3070 8GB8Q42.9 est.No0.006
Mac mini M4 32GB32Q42.5 est.Yes0.003
MacBook Pro M3 Max 128GB128FP162.3 est.Yes0.001
RTX 4090 24GB24FP162.0 est.No0.001
RTX 4090D 24GB (China)24FP162.0 est.No0.001
RTX 3090 Ti 24GB24FP162.0 est.No0.001
RTX 3090 24GB24FP161.9 est.No0.001
RX 7900 XTX 24GB24FP161.9 est.No0.002
RTX 4060 Ti 8GB8Q41.9 est.No0.005
RX 7600 8GB8Q41.9 est.No0.007
RTX 4060 8GB8Q41.8 est.No0.006
RX 7900 XT 20GB20FP161.1 est.No0.001
Mac mini M4 32GB32FP160.4 est.No0.0

Fit checks

12 popular retail GPUs; every row in the table above also links its Fits? verdict to the full fit check.