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Can Pixtral Large 124B run on AMD Instinct MI350X 288GB?

YES — Runs Great

S89Excellent
Estimated from fit model

Pixtral Large 124B needs ~110.7 GB VRAM. AMD Instinct MI350X 288GB has 288.0 GB. With Q4_K_M quantization, expect ~84 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced
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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) — 110.7 GB, 84.0 tok/s, Runs well
110.7 GB required288.0 GB available
38% VRAM used

Fit status

Runs well

Decode

84.0 tok/s

TTFT

2306 ms

Safe context

131K

Memory

110.7 GB / 288.0 GB

Memory breakdown

Weights75.6 GB
KV Cache5.4 GB
Runtime0.9 GB
Headroom28.8 GB

See how fast it feels

See how fast it feelsPixtral Large 124B on AMD Instinct MI350X 288GB
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: 84.0 tok/s decode · 2.3s TTFT (warm) · 210 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
ChatSRuns well84.0 tok/s1258 ms131K
CodingSRuns well84.0 tok/s2306 ms131K
Agentic CodingSRuns well84.0 tok/s3354 ms131K
ReasoningSRuns well84.0 tok/s2725 ms131K
RAGSRuns well84.0 tok/s4192 ms131K

Inference speed

Pixtral Large 124B inference speed — tokens per second by GPU & Mac

Estimated decode speed (tokens/sec) for Pixtral Large 124B at Q4_K_M across popular GPUs and Apple Silicon, including multi-GPU rigs, using the fastest local runtime per device. Fastest is MacBook Pro M4 Max 128GB at ~8 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.

GPU / MacMemoryQuantSpeed (tok/s)Fits?
MacBook Pro M4 Max 128GB
128 GBQ4_K_M8.0Offloads
Mac Studio M3 Ultra 256GB
256 GBQ4_K_M8.0Fits
Mac Studio M2 Ultra 128GB
128 GBQ4_K_M6.2Offloads
Mac Studio M1 Ultra 128GB
128 GBQ4_K_M5.9Offloads
MacBook Pro M4 Max 64GB
64 GBQ4_K_M3.9Too big
2× RX 7900 XTX 24GB
48 GBQ4_K_M3.6Too big
NVIDIA2× RTX 4090 24GB
48 GBQ4_K_M2.6Too big
MacBook Pro M4 Pro 48GB
48 GBQ4_K_M2.4Too big
NVIDIA2× RTX 3090 24GB
48 GBQ4_K_M2.2Too big
NVIDIARTX 5090 32GB
32 GBQ4_K_M2.0Too big
NVIDIARTX 4090 24GB
24 GBQ4_K_M2.0Too big
NVIDIARTX 4080 Super 16GB
16 GBQ4_K_M2.0Too big
NVIDIARTX 3090 24GB
24 GBQ4_K_M2.0Too big
NVIDIARTX 4070 12GB
12 GBQ4_K_M2.0Too big
NVIDIARTX 3060 12GB
12 GBQ4_K_M2.0Too big
NVIDIARTX 4060 8GB
8 GBQ4_K_M2.0Too big
RX 7900 XTX 24GB
24 GBQ4_K_M2.0Too big
MacBook Pro M3 Max 64GB
64 GBQ4_K_M2.0Too big
MacBook Pro M1 Max 64GB
64 GBQ4_K_M2.0Too big
NVIDIA4× RTX 3060 12GB
48 GBQ4_K_M2.0Too big

Estimates for single-stream decoding at Q4_K_M; real tokens/sec varies with prompt length, context, batch size, and runtime build. Prompt processing (prefill) is faster than the decode figures shown here.

Quantization options

How Pixtral Large 124B (124B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
48.4 GB
LowA79
Q3_K_S
3
60.8 GB
LowA80
NVFP4
4
69.4 GB
MediumA80
Q4_K_M
4
75.6 GB
MediumA81
Q5_K_M
5
89.3 GB
HighA82
Q6_K
6
101.7 GB
HighA83
Q8_0Best for your GPU
8
132.7 GB
Very HighA85
F16
16
254.2 GB
MaximumF0

Get started

Copy-paste commands to run Pixtral Large 124B on your machine.

Run

lms load Pixtral-Large-Instruct-2411 && lms server start

Your hardware

More models your AMD Instinct MI350X 288GB can run

ModelParamsGradeDecodeCapabilities
AlibabaQwen 3.5 397B A17B397BS78.9 tok/s
DeepSeekDeepSeek V4 Flash284BS125.8 tok/s

Frequently asked questions

Can AMD Instinct MI350X 288GB run Pixtral Large 124B?

Yes, AMD Instinct MI350X 288GB can run Pixtral Large 124B with a S grade (Runs well). Expected decode speed: 84.0 tok/s.

How much VRAM does Pixtral Large 124B need?

Pixtral Large 124B (124B parameters) requires approximately 110.7 GB of memory with Q4_K_M quantization.

What is the best quantization for Pixtral Large 124B?

The recommended quantization for Pixtral Large 124B is Q4_K_M, which balances quality and memory efficiency.

What speed will Pixtral Large 124B run at on AMD Instinct MI350X 288GB?

On AMD Instinct MI350X 288GB, Pixtral Large 124B achieves approximately 84.0 tokens per second decode speed with a time-to-first-token of 2306ms using Q4_K_M quantization.

Can AMD Instinct MI350X 288GB run Pixtral Large 124B for coding?

For coding workloads, Pixtral Large 124B on AMD Instinct MI350X 288GB receives a S grade with 84.0 tok/s and 131K context.

What context window can Pixtral Large 124B use on AMD Instinct MI350X 288GB?

On AMD Instinct MI350X 288GB, Pixtral Large 124B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI350X 288GBSee all hardware for Pixtral Large 124B
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