Home / Value / Cheapest GPU for Gemma 2 27B Instruct
Cheapest GPU for Gemma 2 27B Instruct
Q4 · 8K (default)
Ranked by lowest fresh Amazon-matched board-partner SKU price among GPUs that fully fit this exact workload. This is not a speed ranking and not a “best GPU” list. Query combinations are not indexed.
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Requirement
- Model
- Gemma 2 27B Instruct
- Quantization · context
- Q4 · 8K
- Required VRAM
- 20.9 GB
- Calculator
- v1.0.0
20 canonical GPUs fully fit. 11 of them have a fresh current price. 9 compatible GPUs have no current price.
Formula: MIN(live fresh Amazon-matched board-partner SKU price) WHERE compatibility = FITS_IN_VRAM. Sort: price ASC, advertised VRAM ASC, canonical GPU id ASC. Prices are the lowest fresh Amazon-matched board-partner SKU, not MSRP or a street-price average.
Among 11 canonical GPUs with a fresh matched Amazon offer currently available in RigForAI. Ranked 11. Unpriced compatible: 9. This is not the entire US market — only canonical GPUs with a fresh matched Amazon offer currently in RigForAI.
Cheapest currently available full-VRAM GPU
NVIDIA Quadro P6000 24 GB
- Advertised VRAM
- 24 GB
- Usable VRAM
- 21.6 GB
- Headroom
- 0.7 GB
- Compatibility
- FITS_IN_VRAM
- Current fresh Amazon price
- $646.96
- Winning physical SKU
- HP NVIDIA Quadro P6000 (24GB) Graphics CardHPASIN B01NALQ0PB
- Offer fetched
- 2026-08-14 20:19 UTC
Why it ranks first
- FITS_IN_VRAM for this model, quantization, and context
- current fresh matched Amazon offer (EXACT/HIGH, not a bundle)
- lowest price among 11 eligible priced GPUs
- price ASC, advertised VRAM ASC, canonical GPU id ASC.
Next option: AMD Radeon RX 7900 XTX 24 GB $1059.99 · difference +$413.03. Build a complete PC around this option. GPU-only price is not a complete-build cost.
Other currently priced full-fit GPUs
Ranked by lowest fresh Amazon-matched board-partner SKU price among GPUs that fully fit this exact workload.
Compatible — current price unavailable
These GPUs calculate as a full VRAM fit. They are not inserted into the current-price ranking because RigForAI has no fresh matched Amazon offer for them. That is not the same as too expensive or incompatible.
- NVIDIA RTX 4500 24 GB · 24 GB advertised
- NVIDIA Tesla K80 24 GB · 24 GB advertised
- NVIDIA Tesla M10 32 GB · 32 GB advertised
- NVIDIA Tesla M40 24 GB · 24 GB advertised
- NVIDIA Quadro GV100 32 GB · 32 GB advertised
- NVIDIA RTX 6000 24 GB · 24 GB advertised
- NVIDIA RTX 8000 48 GB · 48 GB advertised
- NVIDIA RTX A6000 48 GB · 48 GB advertised
- NVIDIA RTX A5500 24 GB · 24 GB advertised
Supported llama.cpp decode per current $1,000
Not ranked here: comparable published MEDIUM-or-higher-confidence llama.cpp decode predictions with a fresh price are unavailable for this workload. Raw Phase 5 estimates may still appear on GPU and comparison pages.