Can Nemotron 70B run on AMD Instinct MI350X 288GB?

YES — Runs Great

B69Good
Estimated from fit model

Nemotron 70B needs ~77.3 GB VRAM. AMD Instinct MI350X 288GB has 288.0 GB. With Q4_K_M quantization, expect ~137 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) 77.3 GB, 148.7 tok/s, Runs well
77.3 GB required288.0 GB available
27% VRAM used

Fit status

Runs well

Decode

148.7 tok/s

TTFT

1302 ms

Safe context

131K

Memory

77.3 GB / 288.0 GB

Memory breakdown

Weights42.7 GB
KV Cache4.9 GB
Runtime0.9 GB
Headroom28.8 GB

See how fast it feels

See how fast it feelsNemotron 70B 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: 148.7 tok/s decode · 1.3s TTFT (warm) · 372 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 well136.8 tok/s772 ms131K
CodingBRuns well136.8 tok/s1416 ms131K
Agentic CodingBRuns well136.8 tok/s2059 ms131K
ReasoningBRuns well136.8 tok/s1673 ms131K
RAGBRuns well136.8 tok/s2574 ms131K

Quantization options

How Nemotron 70B (70B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
27.3 GB
LowB59
Q3_K_S
3
34.3 GB
LowB60
NVFP4
4
39.2 GB
MediumB60
Q4_K_M
4
42.7 GB
MediumB60
Q5_K_M
5
50.4 GB
HighB61
Q6_K
6
57.4 GB
HighB61
Q8_0
8
74.9 GB
Very HighB63
F16Best for your GPU
16
143.5 GB
MaximumB68

Get started

Copy-paste commands to run Nemotron 70B on your machine.

Run

ollama run nemotron

Frequently asked questions

Can AMD Instinct MI350X 288GB run Nemotron 70B?

Yes, AMD Instinct MI350X 288GB can run Nemotron 70B with a B grade (Runs well). Expected decode speed: 136.8 tok/s.

How much VRAM does Nemotron 70B need?

Nemotron 70B (70B parameters) requires approximately 77.3 GB of memory with Q4_K_M quantization.

What is the best quantization for Nemotron 70B?

The recommended quantization for Nemotron 70B is Q4_K_M, which balances quality and memory efficiency.

What speed will Nemotron 70B run at on AMD Instinct MI350X 288GB?

On AMD Instinct MI350X 288GB, Nemotron 70B achieves approximately 136.8 tokens per second decode speed with a time-to-first-token of 1416ms using Q4_K_M quantization.

Can AMD Instinct MI350X 288GB run Nemotron 70B for coding?

For coding workloads, Nemotron 70B on AMD Instinct MI350X 288GB receives a B grade with 136.8 tok/s and 131K context.

What context window can Nemotron 70B use on AMD Instinct MI350X 288GB?

On AMD Instinct MI350X 288GB, Nemotron 70B 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 Nemotron 70B
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