L
localai.computer
ModelsGPUsSystemsAI SetupsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2025 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can Apple M4 Pro run nvidia/Llama-3.1-Nemotron-70B-Instruct-HF?

Runs Q464GB VRAM availableRequires 34GB+

Apple M4 Pro meets the minimum VRAM requirement for Q4 inference of nvidia/Llama-3.1-Nemotron-70B-Instruct-HF. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Apple M4 Pro can run nvidia/Llama-3.1-Nemotron-70B-Instruct-HF with Q4 quantization. At approximately 7 tokens/second, you can expect Low speed - consider quantization or stronger GPU.

You have 30GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q434GB64GB6.93 tok/s✅ Fits comfortably
Q869GB64GB4.84 tok/s❌ Not recommended
FP16138GB64GB2.62 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
152.51 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
147.62 tok/s
Price: —
AMD Instinct MI300X
192GB
111.38 tok/s
Price: —
AMD Instinct MI250X
128GB
103.90 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
103.13 tok/s
Price: —

More questions

Apple M4 Pro specs & pricingFull guide for nvidia/Llama-3.1-Nemotron-70B-Instruct-HFnvidia/Llama-3.1-Nemotron-70B-Instruct-HF speed on Apple M4 Pronvidia/Llama-3.1-Nemotron-70B-Instruct-HF Q4 requirements