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Can RTX 3090 Ti 24GB run gemma-4-31B-it-FP8-block?

NVIDIA · 24 GB GDDR6X · 1008 GB/s bandwidth · RedHatAI · 31.3B · model ctx up to NoneK

⚠️ Only at 4K — 8K needs 24.48 GB, card has 24 GB
VRAM: 21.35 GB needed of 24 GB
Speed: ~56.2 tok/s (estimated)
FF · No FitComposite score: VRAM headroom × 0.5 + tok/s speed × 0.5. Q4 @ 8K context.
CUDA
Cheapest GPU that can: H100 80GB SXM5 See fit details →or☁️ Rent on RunPod from ~$0.50/hr
Estimates from memory-bandwidth formula; rows marked "measured" override. Methodology.

Fit & speed by quant and context

QuantContextVRAM neededFits?tok/s (decode)
Q44K21.35 GBYes34.6 ± est.
Q48K default24.48 GBNo56.2 ± est.
Q432K43.26 GBNo18.0 ± est.
FP164K66.73 GBNo2.1 ± est.
FP168K default69.86 GBNo1.9 ± est.
FP1632K88.64 GBNo1.2 ± est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

QuantWeightsKV cacheOverheadTotal neededRTX 3090 Ti 24GB VRAM
Q417.22 GB6.26 GB1 GB24.48 GB24 GB
FP1662.6 GB6.26 GB1 GB69.86 GB24 GB

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