Home / Value / Cheapest GPU for Gemma 2 9B Instruct
Cheapest GPU for Gemma 2 9B 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.
To open another model, use the value explorer or the model catalog.
Requirement
- Model
- Gemma 2 9B Instruct
- Quantization · context
- Q4 · 8K
- Required VRAM
- 9.2 GB
- Calculator
- v1.0.0
63 canonical GPUs fully fit. 47 of them have a fresh current price. 16 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 47 canonical GPUs with a fresh matched Amazon offer currently available in RigForAI. Ranked 47. Unpriced compatible: 16. 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 GTX 1080 Ti 11 GB
- Advertised VRAM
- 11 GB
- Usable VRAM
- 9.9 GB
- Headroom
- 0.7 GB
- Compatibility
- FITS_IN_VRAM
- Current fresh Amazon price
- $216.99
- Winning physical SKU
- ASUS ROG-STRIX-GTX1080TI-11G-GAMING graphics card NVIDIA GeForce GTX 1080 Ti 11 GB GDDR5XASUSASIN B07KBD66WM
- Offer fetched
- 2026-08-14 21:13 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 47 eligible priced GPUs
- price ASC, advertised VRAM ASC, canonical GPU id ASC.
Next option: NVIDIA Tesla K40 12 GB $268.96 · difference +$51.97. 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 Quadro K6000 12 GB · 12 GB advertised
- NVIDIA Tesla K40C 12 GB · 12 GB advertised
- NVIDIA Tesla K80 24 GB · 24 GB advertised
- NVIDIA Tesla M60 16 GB · 16 GB advertised
- NVIDIA Tesla M10 32 GB · 32 GB advertised
- NVIDIA Tesla M40 12 GB · 12 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 3080 12 GB · 12 GB advertised
- NVIDIA RTX A5500 24 GB · 24 GB advertised
- AMD Radeon RX 9070 16 GB · 16 GB advertised
- AMD Radeon RX 9060 XT 16 GB · 16 GB advertised
Supported llama.cpp decode per current $1,000
Separate ranking. Same model, quantization, llama.cpp CUDA, llama_bench_pp512_tg128, published decode prediction, confidence HIGH or MEDIUM, FITS_IN_VRAM, fresh price. Formula: decode tok/s / price × 1000. This is not “AI performance per dollar”.