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URL: https://willitrunai.com/can-run/mixtral-8x7b-on-gb200-192gb


Can Mixtral 8x7B run on NVIDIA GB200 192GB?

YES — Runs Great

B63Good
Estimated from fit model

Mixtral 8x7B needs ~51.0 GB VRAM. NVIDIA GB200 192GB has 192.0 GB. With Q4_K_M quantization, expect ~450 tok/s.

Runtime: OllamaCapacity: RoomyBandwidth: HighStack: BasicBottleneck: Balanced
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) — 51.0 GB, 483.4 tok/s, Runs well
51.0 GB required192.0 GB available
27% VRAM used

Fit status

Runs well

Decode

483.4 tok/s

TTFT

401 ms

Safe context

33K

Memory

51.0 GB / 192.0 GB

Memory breakdown

Weights28.7 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom19.2 GB

See how fast it feels

See how fast it feelsMixtral 8x7B on NVIDIA GB200 192GB
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: 483.4 tok/s decode · 401ms TTFT (warm) · 1208 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

WorkloadGradeFitDecodeTTFTContext
ChatBRuns well483.4 tok/s350 ms33K
CodingBRuns well449.6 tok/s431 ms33K
Agentic CodingBRuns well483.4 tok/s583 ms33K
ReasoningBRuns well483.4 tok/s473 ms33K
RAGBRuns well483.4 tok/s728 ms33K

Quantization options

How Mixtral 8x7B (47B params) fits at each quantization level on NVIDIA GB200 192GB (192.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
18.3 GB
LowC53
Q3_K_S
3
23.0 GB
LowC53
NVFP4
4

Get started

Copy-paste commands to run Mixtral 8x7B on your machine.

Run

ollama run mixtral

Frequently asked questions

See all results for NVIDIA GB200 192GBSee all hardware for Mixtral 8x7B
26.3 GB
Medium
C54
Q4_K_M
4
28.7 GB
MediumC54
Q5_K_M
5
33.8 GB
HighC55
Q6_K
6
38.5 GB
HighB55
Q8_0
8
50.3 GB
Very HighB56
F16Best for your GPU
16
96.4 GB
MaximumB62