Model Hosting Guide

Cheapest Cloud GPU to Host DeepSeek R1 Reasoning

DeepSeek R1 is a 671B MoE reasoning model with 37B active parameters. It achieves state-of-the-art performance on math, coding, and reasoning benchmarks. The model requires 335 GB FP8 VRAM — fitting on 2x B200 (384 GB) or 4x H200 (564 GB) with tensor parallelism.

Parameters671B MoE (37B active)

Min GPUB200

Min VRAM330 GB+ (FP8)

Cluster2x B200 192GB (TP=2) or 4x H200 141GB (TP=4)

VRAM Sizing Matrix

Memory consumption at different quantization levels for DeepSeek R1 Reasoning. Includes model weights only — KV-cache adds 2-32 GB depending on context length and batch size.

Precision	VRAM Required	Fits On	Quality Loss
FP16 / BF16	1342 GB	Multi-GPU cluster	None (full precision)
FP8	335 GB	Multi-GPU or single large GPU	<1% perplexity delta
INT4 / AWQ	190 GB	Single consumer GPU	1-3% quality degradation

Hardware Bottleneck Advice

KV-cache expansion, tensor parallelism constraints, and production considerations for DeepSeek R1 Reasoning.

KV-Cache & Context Scaling

671B total parameters, 37B active per token. At FP8 (335 GB), requires 2x B200 (384 GB total) with TP=2. The MoE architecture means only 37B parameters are activated per forward pass, but all 671B must be loaded in VRAM.

Tensor Parallelism

TP=2 on B200, TP=4 on H200. The massive 671B parameter count requires multi-GPU tensor parallelism. NVLink 5.0 on B200 or NVLink 4.0 on H200 is mandatory.

Live Cloud Pricing for B200

Filtered to B200-class hardware — the recommended GPU for hosting DeepSeek R1 Reasoning.

Provider	GPU & VRAM	Interconnect	Spot Rate	On-Demand	Monthly	Status	Action
Vast.ai Community	B200192GB HBM3e Llama 70B ✅DeepSeek R1 ✅Production vLLM Cluster ✅70B Models ✅	NVLink 5.0 (1.8 TB/s)	$3.99 / hr	$9.98 / hr	$2,442 / mo	Instant	Deploy →
Spheron Bare Metal	B200192GB HBM3e Llama 70B ✅DeepSeek R1 ✅Production vLLM Cluster ✅70B Models ✅	NVLink 5.0 (1.8 TB/s)	$4.49 / hr	$11.23 / hr	$2,748 / mo	Instant	Deploy →
Lambda Labs Dedicated	B200192GB HBM3e Llama 70B ✅DeepSeek R1 ✅Production vLLM Cluster ✅70B Models ✅	NVLink 5.0 (1.8 TB/s)	$5.49 / hr	$13.73 / hr	$3,360 / mo	Instant	Deploy →
RunPod Cloud	B200192GB HBM3e Llama 70B ✅DeepSeek R1 ✅Production vLLM Cluster ✅70B Models ✅	NVLink 5.0 (1.8 TB/s)	$5.99 / hr	$14.98 / hr	$3,666 / mo	Instant	Deploy →

Data Freshness: Public Cloud APIs & Market Scraping | Refreshed Daily (UTC)|Benchmark Baseline: Ubuntu 24.04, CUDA 12.4, vLLM v0.6.x, PagedAttention v2, FlashAttention-3

Production Runbook

Ready-to-deploy vLLM / SGLang launch command for DeepSeek R1 Reasoning.

terminal

vllm serve deepseek-ai/DeepSeek-R1 --tensor-parallel-size 4 --trust-remote-code --max-model-len 16384

Recommended GPU: B200

Cluster Config: 2x B200 192GB (TP=2) or 4x H200 141GB (TP=4)

Min VRAM: 330 GB+ (FP8)

Related hosting guides

H10

DeepSeek V2 / V2.5236B MoE (21B active)

H20

Meta Llama 3.3 70B Instruct70.6B Dense

L40

Mistral NeMo 12B12.2B Dense (128k context)