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 RTX 5090 run Qwen/Qwen3-Next-80B-A3B-Instruct?

Q4 not recommended32GB VRAM availableRequires 39GB+

RTX 5090 does not meet the minimum VRAM requirement for Q4 inference of Qwen/Qwen3-Next-80B-A3B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RTX 5090 lacks sufficient VRAM for comfortable Qwen/Qwen3-Next-80B-A3B-Instruct operation with Q4 quantization.

Your 32GB GPU is 7GB short of the 39GB minimum.

Options: (1) Try Q2 or Q3 quantization for lower VRAM requirements, (2) Consider cloud GPU rental, (3) Upgrade to a GPU with at least 16GB VRAM.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q439GB32GB59.13 tok/s❌ Not recommended
Q878GB32GB44.76 tok/s❌ Not recommended
FP16156GB32GB24.92 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
167.62 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
139.18 tok/s
Price: —
AMD Instinct MI300X
192GB
117.41 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
97.60 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
97.49 tok/s
Price: —

More questions

RTX 5090 specs & pricingFull guide for Qwen/Qwen3-Next-80B-A3B-InstructQwen/Qwen3-Next-80B-A3B-Instruct speed on RTX 5090Qwen/Qwen3-Next-80B-A3B-Instruct Q4 requirements