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Deploy DeepSeek R1

Text & Chat

DeepSeek R1 is an open-source reasoning model from DeepSeek AI. It demonstrates step-by-step chain-of-thought thinking and rivals GPT-4 on complex reasoning benchmarks. Available in 8B, 14B, 32B, 70B, and 671B MoE variants to match any budget.

Deploy DeepSeek R1 in minutes

Starting at $0.53/hr on dedicated GPU

Available Variants (5)

ModelGPUVRAMPriceAction
DeepSeek R1 8B
Small (8B)
L424 GB$0.53/hrDeploy
DeepSeek R1 14B
Medium (14B, Recommended)
L424 GB$0.53/hrDeploy
DeepSeek R1 32B
Medium+ (32B)
RTX A600048 GB$0.66/hrDeploy
DeepSeek R1 70B
Large (70B)
RTX A600048 GB$0.66/hrDeploy
DeepSeek V3.1 671B
Full (671B MoE)
A100 80GB PCIe80 GB$1.85/hrDeploy

Prices include 30% service fee. Billed per minute while running.

Requirements

DeepSeek R1 requires 24–80GB VRAM depending on variant. Consumer GPUs like the RTX 5080 (16GB) or RTX 4090 (24GB) may not have enough memory for larger variants.

On ModelPilot, deploy on a dedicated cloud GPU (up to 80GB VRAM) starting at $0.53/hr with no setup required.

Includes OpenWebUI chat interface and OpenAI-compatible API endpoint.

Use Cases

  • AI chatbots and customer support
  • Code generation and debugging
  • Research analysis and summarization
  • Math and logic problem solving

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Frequently Asked Questions

How much VRAM does DeepSeek R1 need?

DeepSeek R1 requires 24–80GB VRAM depending on the variant.

How much does it cost to run DeepSeek R1?

Starting at $0.53/hr on a dedicated GPU. Billed per minute while running, with auto-stop when credits run out.

How long does DeepSeek R1 take to deploy?

Text models typically deploy in 5–15 minutes including model download.

Can I run DeepSeek R1 on my local GPU?

You can run smaller variants locally if your GPU has enough VRAM. For larger variants or sustained production use, cloud GPUs offer more capacity and reliability.

Ready to deploy DeepSeek R1?

Pick your GPU and have it running in minutes. No infrastructure setup required.