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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/gemma 3 27b it/on RX 9070 XT 16GB

Can it run?

Can RX 9070 XT 16GB run gemma 3 27b it?

FWon't run

Too heavy

Using Q4_K_M in Ollama

Capabilities:

Fit status

Too heavy

Decode

24.9 tok/s

TTFT

7785 ms

Safe context

11K

Memory

23.5 GB / 16.0 GB

Memory breakdown

Weights16.5 GB
KV Cache4.2 GB
Runtime1.2 GB
Headroom1.6 GB

Performance by workload

WorkloadGradeFitDecodeTTFTContext
Agentic CodingFToo heavy24.9 tok/s11323 ms18K
ChatFToo heavy24.9 tok/s4246 ms6K
CodingFToo heavy24.9 tok/s7785 ms11K
RAGFToo heavy24.9 tok/s14154 ms18K
ReasoningFToo heavy24.9 tok/s9200 ms11K

Quantization options

How gemma 3 27b it (27B params) fits at each quantization level on RX 9070 XT 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_KBest for your GPU
2
10.5 GB
LowC43
Q3_K_S
3
13.2 GB
LowC44
NVFP4
4
15.1 GB
MediumC44
Q4_K_M
4
16.5 GB
MediumF0
Q5_K_M
5
19.4 GB
HighF0
Q6_K
6
22.1 GB
HighF0
Q8_0
8
28.9 GB
Very HighF0
F16
16
55.4 GB
MaximumF0

Upgrade options

Hardware that runs gemma 3 27b it well

AMDRX 7900 XTX 24GBBest value
C41.5 tok/s decode

~$999 MSRP

AppleMac mini M4 64GBBudget pick
C5.2 tok/s decode

~$1,099 MSRP

NVIDIARTX 5090 32GBBiggest leap
B72.9 tok/s decode

~$1,999 MSRP

AMDAMD Instinct MI100 32GBAMD upgrade
B48.5 tok/s decode

 

See all results for RX 9070 XT 16GBSee all hardware for gemma 3 27b it