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 M2 Ultra run parler-tts/parler-tts-large-v1?

Runs Q4192GB VRAM availableRequires 4GB+

Apple M2 Ultra meets the minimum VRAM requirement for Q4 inference of parler-tts/parler-tts-large-v1. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Apple M2 Ultra can run parler-tts/parler-tts-large-v1 with Q4 quantization. At approximately 116 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 188GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB192GB115.63 tok/s✅ Fits comfortably
Q87GB192GB77.57 tok/s✅ Fits comfortably
FP1615GB192GB40.28 tok/s✅ Fits comfortably

Best current price

Apple M2 Ultra
$5,999.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
719.47 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
697.14 tok/s
Price: —
AMD Instinct MI300X
192GB
578.26 tok/s
Price: —
AMD Instinct MI250X
128GB
512.18 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
488.48 tok/s
Price: —

More questions

Apple M2 Ultra specs & pricingFull guide for parler-tts/parler-tts-large-v1parler-tts/parler-tts-large-v1 speed on Apple M2 Ultraparler-tts/parler-tts-large-v1 Q4 requirements