--- description: Detaillierte Informationen über Valohai zu Benutzerfreundlichkeit, Funktionen, Kosten, Vor- und Nachteilen aus verifizierten Nutzer-Erfahrungen. Lies Ratings & Bewertungen und entdecke ähnliche Tools dank Capterra Schweiz. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Valohai Kosten, Erfahrungen & Bewertungen - Capterra Schweiz 2026 --- Breadcrumb: [Startseite](/) > [Deep Learning Software](/directory/31104/deep-learning/software) > [Valohai](/software/179657/valohai) # Valohai Canonical: https://www.capterra.ch/software/179657/valohai Seite: 1 / 2\ Weiter: [Nächste Seite](https://www.capterra.ch/software/179657/valohai?page=2) > Deep-Learning-Management-Plattform für Datenwissenschaftler. Automatisiere die Orchestrierung von Maschinen, die Versionskontrolle und die Pipeline-Koordination. > > Bewertung: **4.8/5** von 8 Nutzern. Top bewertet für **Weiterempfehlungsquote**. ----- ## Übersicht ### Wer verwendet Valohai? Datenwissenschaftler und Teams für maschinelles Lernen ## Kurzstatistiken und Ratings | Metrik | Bewertung | Detail | | **Gesamt** | **4.8/5** | 8 Nutzerbewertungen | | Bedienkomfort | 4.8/5 | Auf Basis der Gesamtbewertungen | | Kundenbetreuung | 5.0/5 | Auf Basis der Gesamtbewertungen | | Preis-Leistungs-Verhältnis | 4.8/5 | Auf Basis der Gesamtbewertungen | | Funktionen | 4.3/5 | Auf Basis der Gesamtbewertungen | | Empfehlungsprozentsatz | 100% | (10/10 Weiterempfehlungsquote) | ## Über den Anbieter - **Unternehmen**: Valohai - **Region**: Turku, Finnland - **Gegründet**: 2016 ## Gewerblicher Kontext - **Startpreis**: $ 350.00 - **Preismodell**: (Gratis Testen) - **Zielgruppe**: 2–10, 11–50, 51–200, 201–500, 501–1'000, 1'001–5'000, 5'001–10'000, 10'000+ - **Bereitstellungen und Plattformen**: Cloud, SaaS, webbasiert, Mac (Desktop), Windows (Desktop), Linux (Desktop) - **Unterstützte Sprachen**: Englisch - **Verfügbare Länder**: Deutschland, Finnland, Kanada, Vereinigte Staaten ## Funktionen - API - Artificial Neural Networks - Datenvisualisierung - Deep Learning Software - ML-Algorithmusbibliothek - Modell-Training - Modellierung neuraler Netzwerke - Prädiktives Modellieren - Third-Party Integrations - Verarbeitung natürlicher Sprache - Visualisierung ## Integrationen (1 insgesamt) - Microsoft Azure ## Optionen für Kundensupport - E-Mail/Helpdesk - FAQ/Forum - Wissensdatenbank - Telefon-Support - 24/7 Live-Support ## Category - [Deep Learning Software](https://www.capterra.ch/directory/31104/deep-learning/software) ## Ähnliche Kategorien - [Deep Learning Software](https://www.capterra.ch/directory/31104/deep-learning/software) - [Machine Learning Software](https://www.capterra.ch/directory/31103/machine-learning/software) ## Alternativen 1. [Rayven](https://www.capterra.ch/software/173908/rayven-industrial-business-intelligence) — 5.0/5 (24 reviews) 2. [Anaconda](https://www.capterra.ch/software/191760/anaconda) — 4.6/5 (86 reviews) 3. [Google Cloud](https://www.capterra.ch/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews) 4. [Clickworker](https://www.capterra.ch/software/175432/clickworker) — 4.3/5 (58 reviews) 5. [MySQL](https://www.capterra.ch/software/11482/mysql) — 4.6/5 (2094 reviews) ## Nutzerbewertungen ### "Valohai allows us to adapt the best ML practices and scale" — 5.0/5 > **Ari** | *18. Oktober 2018* | Personalwesen | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: 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\! > > **Nachteile**: 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. Januar 2021* | Computer-Software | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: 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. > > **Nachteile**: None yet, still looking to find the first bug in their platform. ----- ### "Great Interface for Scalable Machine Learning Jobs" — 4.0/5 > **Mikael** | *17. Oktober 2018* | Informationstechnologie & -dienste | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: 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 :-) > > **Nachteile**: 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 > **Verifizierter Rezensent** | *17. Oktober 2018* | Informationstechnologie & -dienste | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: Valohai makes is super easy to build automated deep learning pipelines and handle automatically the version control of the experiments. > > **Nachteile**: 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. Oktober 2018* | Informationstechnologie & -dienste | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: 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 > > **Nachteile**: 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. ----- Seite: 1 / 2\ Weiter: [Nächste Seite](https://www.capterra.ch/software/179657/valohai?page=2) ## Links - [Auf Capterra anzeigen](https://www.capterra.ch/software/179657/valohai) ## Diese Seite ist in den folgenden Sprachen verfügbar | Sprache | 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 | | ----- ## Strukturierte Daten