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 NVIDIA A100 40GB PCIe run dphn/dolphin-2.9.1-yi-1.5-34b?

Runs Q440GB VRAM availableRequires 17GB+

NVIDIA A100 40GB PCIe meets the minimum VRAM requirement for Q4 inference of dphn/dolphin-2.9.1-yi-1.5-34b. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA A100 40GB PCIe can run dphn/dolphin-2.9.1-yi-1.5-34b with Q4 quantization. At approximately 82 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 23GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q417GB40GB81.94 tok/s✅ Fits comfortably
Q835GB40GB57.74 tok/s✅ Fits comfortably
FP1670GB40GB29.36 tok/s❌ Not recommended

Suitable alternatives

AMD Instinct MI300X
192GB
276.56 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
252.48 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
189.42 tok/s
Price: —
AMD Instinct MI300X
192GB
169.78 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
169.06 tok/s
Price: —

More questions

NVIDIA A100 40GB PCIe specs & pricingFull guide for dphn/dolphin-2.9.1-yi-1.5-34bdphn/dolphin-2.9.1-yi-1.5-34b speed on NVIDIA A100 40GB PCIedphn/dolphin-2.9.1-yi-1.5-34b Q4 requirements