⚡Under $0.50/hr🧠VRAM Estimator⚖Compare GPUs🎁Free LLM APIs🎯Model Index
Model Hosting Guide

Cheapest Cloud GPU to Host FLUX.1 [dev]

FLUX.1 [dev] is Black Forest Labs' state-of-the-art image generation model using a 12B rectified flow transformer architecture. At BF16, the 24 GB model fits on a single RTX 4090. The model produces photorealistic images with excellent prompt adherence and is the recommended choice for production image generation.

Parameters12B Rectified Flow Transformer
Min GPURTX 4090
Min VRAM24 GB GDDR6X
Cluster1x RTX 4090 24GB

VRAM Sizing Matrix

Memory consumption at different quantization levels for FLUX.1 [dev]. Includes model weights only — KV-cache adds 2-32 GB depending on context length and batch size.

PrecisionVRAM RequiredFits OnQuality Loss
FP16 / BF1624 GBSingle GPU with headroomNone (full precision)
FP816 GBSingle GPU<1% perplexity delta
INT4 / AWQ12 GBSingle consumer GPU1-3% quality degradation

Hardware Bottleneck Advice

KV-cache expansion, tensor parallelism constraints, and production considerations for FLUX.1 [dev].

KV-Cache & Context Scaling

12B transformer for image generation. No KV-cache in the traditional LLM sense — the model uses a rectified flow architecture with fixed-size latent representations. 24 GB VRAM handles BF16 inference with VAE decoder headroom.

Tensor Parallelism

TP=1. The 12B parameter count and image generation workload fit entirely on a single RTX 4090. No multi-GPU required.

Live Cloud Pricing for RTX 4090

Filtered to RTX 4090-class hardware — the recommended GPU for hosting FLUX.1 [dev].

ProviderGPU & VRAMInterconnectSpot RateOn-DemandMonthlyStatusAction
Community
PCIe 4.0 (64 GB/s)$0.34 / hr$0.85 / hr$208 / moInstant
Deploy →
Bare Metal
PCIe 4.0 (64 GB/s)$0.69 / hr$1.73 / hr$422 / moInstant
Deploy →
Cloud
PCIe 4.0 (64 GB/s)$0.74 / hr$1.85 / hr$453 / moInstant
Deploy →
Dedicated
PCIe 4.0 (64 GB/s)$0.89 / hr$2.23 / hr$545 / moInstant
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 FLUX.1 [dev].

terminal
python -m diffusers.examples.flux --model black-forest-labs/FLUX.1-dev --precision bf16
Recommended GPU: RTX 4090
Cluster Config: 1x RTX 4090 24GB
Min VRAM: 24 GB GDDR6X

Related hosting guides