# RunPod Selon la télémétrie OpenAITools.app vérifiée le 2026-11-10, RunPod (runpod.io) est une plateforme d'IA indexée sous Outils de développement IA (classé n° 252 au niveau mondial) générant 2,88 M visites mensuelles avec un delta de trafic mensuel de +161,49 k (+5,9 %). Son marché géographique principal est États-Unis (26,1 % de part de trafic), et elle fonctionne selon un modèle tarifaire Payant. Les principales alternatives concurrentes par volume mensuel incluent Vast.ai (1,26 M visites/mois), Modal (1,2 M visites/mois), Together AI (1,65 M visites/mois). RunPod is a cloud platform for AI and machine learning workloads that rents GPU compute by the second. It offers Pods for persistent GPU instances, Serverless endpoints that autoscale inference from zero, and multi-node Clusters, plus a Hub of ready-to-deploy open-source models and templates. ## Télémétrie et spécifications clés | Métrique | Valeur | | :--- | :--- | | Nom de l'outil | RunPod | | Identifiant | runpod | | Status | active | | Origin | official | | Maintenance | active | | Domaine officiel | runpod.io | | URL du site web | https://runpod.io | | Catégories | Outils de développement IA, Modèles IA, Large Language Models (LLMs), AI API | | Modèle tarifaire | Payant | | Visites mensuelles | 2 881 043 | | Variation du trafic mensuel | 161 489 | | Taux de croissance mensuel | +5,9 % | | Marché principal | États-Unis | | Part de marché | 26,1 % | | Visites directes | 1 634 834 | | Visites de recherche organique | — | | Visites sociales | — | | Visites par référencement | 552 821 | | Visites par e-mail | 31 596 | | Score d'avis | 4,7 | | Nombre d'enregistrements | 4 | | Plateformes prises en charge | Site web | | Plateformes de facturation | stripe | | Attributs | Fonctionnalités: Site web; Tarification: Payant | | Étiquettes | Location de GPU, Cloud computing, Développement IA, Apprentissage automatique, Serverless, Inférence, PyTorch, TensorFlow, Déploiement par conteneurs, Stockage réseau, apprentissage profond, Formation à l'IA | ## Aperçu RunPod is a cloud platform for AI and machine learning workloads that rents GPU compute by the second. It offers Pods for persistent GPU instances, Serverless endpoints that autoscale inference from zero, and multi-node Clusters, plus a Hub of ready-to-deploy open-source models and templates. ## Tarifs et offres Paid, pay-as-you-go. GPU Pods are billed per second or per hour by card type, Serverless endpoints bill for active compute only with zero idle cost, and Clusters charge per GPU per hour. Storage starts at around $0.05/GB per month. A free tier and enterprise reserved-capacity contracts are also available. ## Fonctionnalités clés et capacités - **On-demand GPU Pods:** Rent GPU instances with on-demand, interruptible or reserved capacity across more than 30 GPU SKUs, from RTX 4090s up to B200 and B300 class accelerators, deployed in 31 global regions. - **Autoscaling Serverless endpoints:** Deploy any container as an API endpoint that scales from zero to thousands of workers on demand and bills only for the compute you actually use. - **Multi-node Clusters:** Launch multi-node GPU clusters for distributed training and large inference jobs, with shared storage attachable and no long-term commitment required. - **Model Hub and public endpoints:** Deploy popular open-source models from a curated hub, or use public endpoints for image, audio and text models without managing infrastructure. - **Persistent storage:** Persistent network storage with standard and high-performance tiers, container and volume disks, and no egress fees for full AI pipelines. ## Cas d'usage principaux - **Train and fine-tune large models (ML engineer):** Rent A100, H100, H200 or B200 capacity for training and fine-tuning large models, then release it when the run finishes instead of holding reserved capacity. - **Serve production inference (Backend developer):** Wrap a model in a container and expose an autoscaling endpoint that serves requests in production and costs nothing when traffic drops to zero. - **Prototype generative AI features (Indie builder):** Use templates and public endpoints to generate images, audio or text without setting up or managing any GPU infrastructure yourself. - **Run multi-node distributed jobs (Research team):** Configurable multi-node clusters with shared storage support distributed training and rendering workloads that need many GPUs at once without long-term commitments. ## Forces - Extremely broad GPU catalogue spanning consumer and datacentre cards - Per-second billing and scale-to-zero serverless endpoints keep idle costs near zero - Fast environment provisioning from templates or your own containers - Global region coverage with persistent storage and no egress fees - Enterprise features including SOC 2 Type II and 99.9% uptime targets ## Limites - GPU availability for high-end cards can vary by region and time of day - Serverless cold starts and autoscaling behaviour require some tuning to get right - Costs can climb quickly if workloads are left running on idle Pods - Learning curve for container and handler configuration is steeper than fully managed model APIs ## Questions fréquentes ### What GPU infrastructure does RunPod provide? RunPod offers three core products: Pods (persistent GPU instances in Community Cloud or Secure Cloud), Serverless (autoscaling API endpoints that scale to zero when idle) and Clusters (multi-node GPU clusters for distributed training and inference). A Model Hub and public endpoints add ready-to-use models via API. ### How is RunPod priced? Pricing is per second or per hour depending on the GPU and product. Small cards such as the RTX A5000 start low, mid-range options like the A100 and L40S sit in the middle, and flagship GPUs such as the H100, H200, B200 and B300 cost more per hour. Serverless and Clusters bill separately, and storage is charged from around $0.05/GB per month. ### Can I launch a GPU environment quickly? Yes. Pods can be started in seconds from templates or your own container, and model templates in the Hub let you deploy popular open-source models without building an environment from scratch. ### Does Serverless charge for idle time? Serverless endpoints can scale from zero to many workers automatically and are billed only while work is running, so you pay nothing when your endpoint is idle. Cold-start improvements such as FlashBoot target sub-200ms warm-up. ### Is there an enterprise offering? Yes. RunPod publishes enterprise and reserved-capacity options with SLA-backed uptime, SOC 2 Type II compliance, and network storage designed for large model pipelines without egress fees. ### Quel est le trafic mensuel et la tendance de croissance de RunPod ? RunPod reçoit actuellement 2,88 M visites mensuelles, avec une variation de trafic mensuelle de +161,49 k (taux de croissance de +5,9 %). Son marché source principal est États-Unis (26,1 % de part), dont 1,63 M visites directes/mois et — visites de recherche organique/mois. ### RunPod est-il gratuit ? Quel est son modèle tarifaire ? RunPod fonctionne selon un modèle tarifaire Payant. Paid, pay-as-you-go. GPU Pods are billed per second or per hour by card type, Serverless endpoints bill for active compute only with zero idle cost, and Clusters charge per GPU per hour. Storage starts at around $0.05/GB per month. A free tier and enterprise reserved-capacity contracts are also available. Les plateformes de facturation et de paiement prises en charge incluent : stripe. ### Quelles sont les meilleures alternatives à RunPod en 2026 ? Sur la base du trafic de catégorie et de l'adéquation des fonctionnalités sur OpenAITools.app, les cinq principales alternatives à RunPod sont : 1. Vast.ai (1,26 M visites/mois); 2. Modal (1,2 M visites/mois); 3. Together AI (1,65 M visites/mois); 4. Nebius (1,15 M visites/mois); 5. Cerebrium (26,97 k visites/mois). ### Quelles plateformes et capacités d'IA principales RunPod prend-il en charge ? RunPod est classé sous Outils de développement IA, Modèles IA, Large Language Models (LLMs), AI API, prend en charge les plateformes suivantes : Site web, et ses étiquettes de capacités principales incluent : Location de GPU, Cloud computing, Développement IA, Apprentissage automatique, Serverless, Inférence. ## Alternatives | Nom de l'outil | Visites mensuelles | Modèle tarifaire | Comparer | | :--- | :--- | :--- | :--- | | [Vast.ai](https://openaitools.app/fr/tool/vast-ai) | 1 257 554 | Payant | [Comparer](https://openaitools.app/fr/compare/runpod-vs-vast-ai) | | [Modal](https://openaitools.app/fr/tool/modal-com) | 1 196 021 | Freemium, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/modal-com-vs-runpod) | | [Together AI](https://openaitools.app/fr/tool/together-ai) | 1 645 930 | Freemium, Payant | [Comparer](https://openaitools.app/fr/compare/runpod-vs-together-ai) | | [Nebius](https://openaitools.app/fr/tool/nebius) | 1 145 711 | Payant, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/nebius-vs-runpod) | | [Cerebrium](https://openaitools.app/fr/tool/cerebrium) | 26 974 | Essai gratuit, Payant | [Comparer](https://openaitools.app/fr/compare/cerebrium-vs-runpod) | | [DeepInfra](https://openaitools.app/fr/tool/deep-infra) | 457 810 | Payant | [Comparer](https://openaitools.app/fr/compare/deep-infra-vs-runpod) | | [fal.ai](https://openaitools.app/fr/tool/fal-ai) | 3 093 684 | Paid, pay-as-you-go usage-based pricing | [Comparer](https://openaitools.app/fr/compare/fal-ai-vs-runpod) | | [Replicate AI](https://openaitools.app/fr/tool/replicate-ai) | 904 038 | Payant | [Comparer](https://openaitools.app/fr/compare/replicate-ai-vs-runpod) | | [OpenRouter](https://openaitools.app/fr/tool/openrouter-ai) | 19 941 437 | Payant | [Comparer](https://openaitools.app/fr/compare/openrouter-ai-vs-runpod) | | [Salad](https://openaitools.app/fr/tool/salad-gpu-cloud) | 713 519 | Essai gratuit, Payant, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/runpod-vs-salad-gpu-cloud) | | [Novita AI](https://openaitools.app/fr/tool/novita-ai) | 271 371 | Payant | [Comparer](https://openaitools.app/fr/compare/novita-ai-vs-runpod) | | [Lightning AI](https://openaitools.app/fr/tool/lightning-ai) | 272 562 | Freemium, Payant, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/lightning-ai-vs-runpod) | ## Communauté Une communauté de passionnés, d'ingénieurs et d'entreprises qui partagent leurs connaissances sur l'IA, le machine learning et les GPU ! [RunPod](https://discord.gg/cUpRmau42V) --- Source : https://openaitools.app/fr/tool/runpod