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 AMD Ryzen AI Max+ 395 run nineninesix/kani-tts-2-en?

Runs Q4128GB VRAM availableRequires 1GB+

AMD Ryzen AI Max+ 395 meets the minimum VRAM requirement for Q4 inference of nineninesix/kani-tts-2-en. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

AMD Ryzen AI Max+ 395 can run nineninesix/kani-tts-2-en with Q4 quantization. At approximately 44 tokens/second, you can expect Moderate speed - useful for batch processing.

You have 127GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q41GB128GB44.01 tok/s✅ Fits comfortably
Q81GB128GB31.14 tok/s✅ Fits comfortably
FP161GB128GB16.82 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
974.88 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
765.32 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
617.75 tok/s
Price: —
AMD Instinct MI300X
192GB
593.71 tok/s
Price: —
AMD Instinct MI250X
128GB
585.96 tok/s
Price: —

More questions

AMD Ryzen AI Max+ 395 specs & pricingFull guide for nineninesix/kani-tts-2-ennineninesix/kani-tts-2-en speed on AMD Ryzen AI Max+ 395nineninesix/kani-tts-2-en Q4 requirements