--- description: Valohai : avantages et inconvénients. Lisez les avis clients, consultez les prix et découvrez les fonctionnalités. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Valohai - Avis, notes, prix et abonnements - Capterra Canada 2026 --- Breadcrumb: [Accueil](/) > [Logiciels de deep learning](/directory/31104/deep-learning/software) > [Valohai](/software/179657/valohai) # Valohai Canonical: https://fr.capterra.ca/software/179657/valohai Page : 1/2\ Suivant: [Page suivante](https://fr.capterra.ca/software/179657/valohai?page=2) > Plateforme de gestion de deep learning pour les équipes de science des données. Automatisez l'orchestration de la machine, le contrôle de la version et la coordination du pipeline. > > Conclusion : 8 utilisateurs lui ont donné la note de **4.8/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Présentation ### Qui utilise Valohai? Les équipes de science des données et de machine learning ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **4.8/5** | 8 Avis | | Simplicité | 4.8/5 | D'après l'ensemble des avis | | Support client | 5.0/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 4.8/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.3/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 100% | (10/10 Probabilité de recommander le produit) | ## À propos du vendeur - **Entreprise**: Valohai - **Pays**: Turku, Finlande - **Fondé**: 2016 ## Contexte commercial - **À partir de**: 350,00 $ US - **Type de licence**: (Version d’essai gratuite) - **Public cible**: 2–10, 11–50, 51–200, 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+ - **Déploiement et plateformes**: Cloud, SaaS, web, Mac (ordinateur), Windows (ordinateur), Linux (ordinateur) - **Langues**: anglais - **Pays disponibles**: Allemagne, Canada, Finlande, États-Unis ## Fonctionnalités - API - Artificial Neural Networks - Bibliothèque d'algorithmes de ML - Deep learning - Modèle de formation - Modélisation du réseau neuronal - Modélisation prédictive - Third-Party Integrations - Traitement automatique du langage naturel - Visualisation - Visualisation de données ## Intégrations (1 au total) - Microsoft Azure ## Ressources d'aide - Service client/courriel - FAQ/forums - Base de connaissances - Support téléphonique - Support 24/7 (réponse directe) ## Category - [Logiciels de deep learning](https://fr.capterra.ca/directory/31104/deep-learning/software) ## Catégories connexes - [Logiciels de deep learning](https://fr.capterra.ca/directory/31104/deep-learning/software) - [Outils d'apprentissage automatique](https://fr.capterra.ca/directory/31103/machine-learning/software) ## Logiciels similaires 1. [Rayven](https://fr.capterra.ca/software/173908/rayven-industrial-business-intelligence) — 5.0/5 (24 reviews) 2. [Anaconda](https://fr.capterra.ca/software/191760/anaconda) — 4.6/5 (86 reviews) 3. [Google Cloud](https://fr.capterra.ca/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews) 4. [Clickworker](https://fr.capterra.ca/software/175432/clickworker) — 4.3/5 (58 reviews) 5. [MySQL](https://fr.capterra.ca/software/11482/mysql) — 4.6/5 (2094 reviews) ## Avis ### "Valohai allows us to adapt the best ML practices and scale" — 5.0/5 > **Ari** | *18 octobre 2018* | Ressources humaines | Taux de recommandation : 10.0/10 > > **Avantages**: Valohai is a reliable platform for doing ML that works, it is easy to start using it and it is now a key piece of our data stack. We use it to scale our ML models, track experiment versions, performance and models. I can now feel reassured that I can scale to a growing volume of data and on-board new team members easily. The customer support has been excellent\! > > **Inconvénients**: I still find it tricky to combine multiple steps and executions into a pipeline with dependencies. I currently rely on Airflow for doing that and thanks to their API I can still hack it myself. I wish there would be a more developed documentation but you can still rely on a fast customer support if you have any question. ----- ### "Mandatory ML Ops platform for today's ML teams" — 5.0/5 > **Paul** | *14 janvier 2021* | Logiciels | Taux de recommandation : 10.0/10 > > **Avantages**: Valohai helps us streamline our Machine Learning model development. All the features are thoroughly tested and they are very fast in releasing new features requested by the customers. The customer support is stellar and they go above and beyond to get you up and running fast. > > **Inconvénients**: None yet, still looking to find the first bug in their platform. ----- ### "Great Interface for Scalable Machine Learning Jobs" — 4.0/5 > **Mikael** | *17 octobre 2018* | Services et technologies de l'information | Taux de recommandation : 10.0/10 > > **Avantages**: Interface is simple and straightforward; its easy to define jobs using the yaml files and creating jobs is even easier using the we interface. Burning money on AWS has never been so easy :-) > > **Inconvénients**: Sometimes error messages are confusing. Minor interface gaps. > > Convenient way to deploy Tensorflow code for shared use between client and internal staff. ----- ### "Automated deep learning pipelines" — 5.0/5 > **Utilisateur vérifié** | *17 octobre 2018* | Services et technologies de l'information | Taux de recommandation : 10.0/10 > > **Avantages**: Valohai makes is super easy to build automated deep learning pipelines and handle automatically the version control of the experiments. > > **Inconvénients**: Standalone app with desktop notifications would be nice. > > Valohai is one of the most production ready DL versioning tools in the market. ----- ### "Perfect for my remote team" — 5.0/5 > **Kyle** | *17 octobre 2018* | Services et technologies de l'information | Taux de recommandation : 10.0/10 > > **Avantages**: 1) Training sessions are catalogued; allowing easy replication of experimental results and sharing across many team members, 2) AWS resources are managed for you. No extra time is needed to launch VM instance or 3) AWS pricing is shown immediately after executing and logged on a per-experiment basis. This makes it very simple to bill clients for model training. 4) Valohai support team worked aside us from the beginning to ensure we were running properly 5) Live customer support provided in Slack channel > > **Inconvénients**: When you change between commits during job creation it erases all of your previous form entries. This is inconvenient for users who'd like to use the "Copy" feature to run the exact same parameters but on a more recent commit. > > This is a great product\! Keep up the great work Valohai Team. ----- Page : 1/2\ Suivant: [Page suivante](https://fr.capterra.ca/software/179657/valohai?page=2) ## Liens - [Afficher sur Capterra](https://fr.capterra.ca/software/179657/valohai) ## Cette page est disponible dans les langues suivantes. | Langue | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | ----- ## Données structurées