VOOZH about

URL: https://willitrunai.com/can-run/mixtral-8x7b-on-a2000-12gb

⇱ Mixtral 8x7B on RTX A2000 12GB? No — Alternatives

Can Mixtral 8x7B run on RTX A2000 12GB?

NO — Won't Fit

F0Won't run
○Estimated from fit model

Mixtral 8x7B needs ~33.0 GB but RTX A2000 12GB only has 12.0 GB. Try a smaller quantization or lighter model.

Runtime: OllamaCapacity: No fitBandwidth: LowStack: BasicBottleneck: Memory capacity
Share:

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 33.0 GB, exceeds 12.0 GB available
33.0 GB required12.0 GB available
275% VRAM needed

21.0 GB over capacity — needs offload or smaller quantization

Fit status

Too heavy

Decode

2.4 tok/s

TTFT

79876 ms

Safe context

4K

Memory

33.0 GB / 12.0 GB

Offload

60%

Memory breakdown

Weights28.7 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom1.2 GB

See how fast it feels

With memory offload — actual speed may be lower
See how fast it feelsMixtral 8x7B on RTX A2000 12GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step. Given information: - Speed = 60 mph (miles per hour) - Time = 2.5 hours Formula: Distance = Speed x Time Calculation: Distance = 60 mph x 2.5 h = 150 miles The train travels 150 miles. Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time. Breakdown: - First half: 1.25 hours at 60 mph = 75 miles - Stop: 20 minutes (no distance) - Second half: 1.25 hours at 60 mph = 75 miles Total distance: 150 miles (same) Total time: 2.5 h + 0.33 h = 2.83 hours Average speed: 150 / 2.83 = 53 mph The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 2.4 tok/s decode · 79.9s TTFT (warm) · 6 tok/s prefill

What limits this setup

Usable VRAM is the main blocker for this model.

Not enough usable memory

The model needs 33.0 GB, but this setup only exposes 12.0 GB of usable VRAM.

Best improvement path

Add more VRAM headroom

The first useful upgrade is more dedicated VRAM so you can fit the model without shrinking context or dropping to a much lower quant.

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatFToo heavy2.4 tok/s43569 ms4K
CodingFToo heavy2.4 tok/s79876 ms4K
Agentic CodingFToo heavy2.4 tok/s116183 ms4K
ReasoningFToo heavy2.4 tok/s94399 ms4K
RAGFToo heavy2.4 tok/s145228 ms4K

Quantization options

How Mixtral 8x7B (47B params) fits at each quantization level on RTX A2000 12GB (12.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
18.3 GB
LowF0
Q3_K_S
3
23.0 GB
LowF0
NVFP4
4
26.3 GB
MediumF0
Q4_K_M
4
28.7 GB
MediumF0
Q5_K_M
5
33.8 GB
HighF0
Q6_K
6
38.5 GB
HighF0
Q8_0
8
50.3 GB
Very HighF0
F16
16
96.4 GB
MaximumF0

Upgrade options

Hardware that runs Mixtral 8x7B well

👁 NVIDIA
RTX 5090 32GBBest value
32 GB VRAM (+20)1792 GB/s (+1504)
B
Makes the model fit on the accelerator instead of staying completely out of reach.54.9 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Raises estimated decode speed by about 2188%.

~$1,999 MSRP

👁 NVIDIA
RTX PRO 4500 Blackwell 32GBNVIDIA upgrade
32 GB VRAM (+20)896 GB/s (+608)
B
Makes the model fit on the accelerator instead of staying completely out of reach.34.4 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Raises estimated decode speed by about 1333%.

~$2,499 MSRP

👁 NVIDIA
RTX A6000 48GBBudget pick
48 GB VRAM (+36)768 GB/s (+480)
B
Makes the model fit on the accelerator instead of staying completely out of reach.42 tok/s decode

Makes the model fit on the accelerator instead of staying completely out of reach.

Removes host-memory offload, which is usually the single biggest latency and throughput win.

~$4,650 MSRP

Frequently asked questions

See all results for RTX A2000 12GBSee all hardware for Mixtral 8x7B