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 5070 Ti run deepseek-ai/DeepSeek-R1?

Runs Q416GB VRAM availableRequires 4GB+

RTX 5070 Ti meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-R1. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

RTX 5070 Ti can run deepseek-ai/DeepSeek-R1 with Q4 quantization. At approximately 131 tokens/second, you can expect Excellent speed - conversational response times under 1 second.

You have 12GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB16GB131.07 tok/s✅ Fits comfortably
Q87GB16GB93.41 tok/s✅ Fits comfortably
FP1615GB16GB50.53 tok/s⚠️ Tight fit

Suitable alternatives

AMD Instinct MI300X
192GB
804.32 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
666.47 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
528.03 tok/s
Price: —
AMD Instinct MI300X
192GB
502.64 tok/s
Price: —
AMD Instinct MI250X
128GB
487.86 tok/s
Price: —

More questions

RTX 5070 Ti specs & pricingFull guide for deepseek-ai/DeepSeek-R1deepseek-ai/DeepSeek-R1 speed on RTX 5070 Tideepseek-ai/DeepSeek-R1 Q4 requirements