Outil · Choisir un GPU

Quel GPU louer ?

Répondez à trois questions et obtenez les trois meilleurs GPU à louer dès maintenant pour votre tâche — avec le fournisseur, le prix horaire et le coût mensuel.

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Notre sélection

Nécessite environ 12 GB de mémoire GPU (sdxl).

Meilleur choix

AMD MI300X

192 GB · 5,300 GB/s

$0.50/hr · RunPod

≈ $50 pour 100 h/mois

Voir tous les fournisseurs →
Alternative

Nvidia H200 NVL

141 GB · 4,800 GB/s

$0.50/hr · RunPod

≈ $50 pour 100 h/mois

Voir tous les fournisseurs →
Alternative

Nvidia GeForce RTX 3090

24 GB · 936 GB/s

$0.12/hr · Vast.ai

≈ $12 pour 100 h/mois

Voir tous les fournisseurs →

Classés par prix par unité de bande passante mémoire — la plus grande vitesse de génération par dollar.

Liste de configuration

  • Start from a ComfyUI or Automatic1111 template to skip driver and dependency setup.
  • Keep checkpoints, LoRAs and outputs on a persistent volume; model files are several GB each.
  • Batch generations when you can — interactive, one-at-a-time use leaves the GPU idle most of the hour.
  • Check the license of the model you use (Flux dev, for example, is non-commercial).

Méthode de calcul

The wizard starts from memory, because a GPU that can't hold the job is useless at any price. For running a model we size the weights at the precision your priority implies — 4-bit for cheapest, 8-bit for balanced, 16-bit for fastest — plus KV cache for an 8K context. Fine-tuning uses QLoRA (or LoRA when you pick fastest), training uses full mixed-precision state, and image models use typical VRAM needs for each model family.

Among the GPUs that fit and have a live price, cheapest ranks by hourly rate, fastest by memory bandwidth (which sets generation speed), and balanced by price per unit of bandwidth — the most speed per dollar. If no single card fits, it shows the smallest multi-GPU shapes instead. Every result links to the GPU's page with all providers, because the cheapest provider isn't always the most reliable one.

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