What Models?

Pick the right model for your GPU — in seconds.

What GPU do you need to run Nemotron 3 Nano 4B?

3.97B params 256K max context ReasoningTool use

The smallest GPU memory that runs Nemotron 3 Nano 4B well is 4 GB (Q4_K_M, e.g. T1000). 131 of 132 GPUs run it well.

VRAM needed per quantization

QuantizationWeights16K context32K contextFull 256K
Q4_K_M2.8 GB3.0 GB3.3 GB6.6 GB
Q8_03.9 GB4.2 GB4.4 GB7.8 GB

Weights plus fp16 KV cache. Leave ~1 GB headroom for the inference engine.

Cheapest GPUs that can run Nemotron 3 Nano 4B

Lowest launch MSRP among GPUs that run its smallest quantization (Q4_K_M) well, with at least 16K context.

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GPUs that can run Nemotron 3 Nano 4B

Best quantization that fits on each GPU, with the context and speed it gets. For chips with several memory sizes, the smallest that works is shown.

NVIDIA

AMD

Intel

Apple

  • M1 8 GB Q8_0 256K context · ~14 tok/s
  • M2 8 GB Q8_0 256K context · ~20 tok/s
  • M3 8 GB Q8_0 256K context · ~20 tok/s
  • M1 Pro 16 GB Q8_0 256K context · ~40 tok/s
  • M2 Pro 16 GB Q8_0 256K context · ~40 tok/s
  • M4 16 GB Q8_0 256K context · ~24 tok/s
  • M5 16 GB Q8_0 256K context · ~31 tok/s
  • M6 16 GB Q8_0 256K context · ~31 tok/s
  • M3 Pro 18 GB Q8_0 256K context · ~30 tok/s
  • M4 Pro 24 GB Q8_0 256K context · ~55 tok/s
  • M5 Pro 24 GB Q8_0 256K context · ~62 tok/s
  • M1 Max 32 GB Q8_0 256K context · ~81 tok/s
  • M2 Max 32 GB Q8_0 256K context · ~81 tok/s
  • M3 Max 36 GB Q8_0 256K context · ~61 tok/s
  • M4 Max 36 GB Q8_0 256K context · ~83 tok/s
  • M5 Max 36 GB Q8_0 256K context · ~93 tok/s
  • M1 Ultra 64 GB Q8_0 256K context · ~162 tok/s
  • M2 Ultra 64 GB Q8_0 256K context · ~162 tok/s
  • M3 Ultra 96 GB Q8_0 256K context · ~166 tok/s
  • M5 Ultra 96 GB Q8_0 256K context · ~243 tok/s
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