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Valohai

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What Valohai is

Valohai is an MLOps platform for teams building, testing, and deploying machine learning models. It coordinates experiments, datasets, pipelines, compute, model serving, and model registries. Experiments are tracked and versioned for reproducibility. Pipelines can cache steps, branch on conditions, pause for human approval, and run from schedules, webhooks, or new data. Datasets are versioned and cached across executions so reused files do not need repeated downloads. Compute can autoscale across virtual machines, Kubernetes, Slurm, cloud infrastructure, or on-premises systems. Deployment choices include managed cloud, private cloud, on premises, and air-gapped environments. Integrations include a Hugging Face template, Snowflake, BigQuery, Redshift, and Slurm cluster management. Every operation is available through an API. Valohai says it encrypts data in transit and at rest, does not store source code, and completed a SOC 2 Type II audit. Subscriptions include technical support, training, and onboarding resources. Pricing is a fixed per-user monthly fee quoted by Sales, with a 14-day trial.

Who it suits

Valohai is aimed at ML teams that need to manage experiments, data, pipelines, compute, and deployments. It suits organizations requiring cloud, on-premises, private-cloud, or air-gapped deployment options.

What it does well

  • Versions experiments and datasets
  • Pipeline caching and conditional branches
  • Autoscaled compute across multiple environments
  • API access for every platform operation
  • 14-day trial available

What to know first

  • No free plan
  • Pricing requires a custom quote

Limits

The subscription is billed as a fixed fee per user per month, with the amount supplied by Sales.

Plans

PlanBilled and limitsPrice
Valohai subscriptionFixed fee per user per month; contact Sales for a custom quote. · Unlimited projects · unlimited experiments · unlimited pipelines · unlimited deployments · compute costs not specifiedOn request

As valohai.com lists them, read 1 Oct 2026. The maker's own page has the final word.

Getting started

  1. Open the Valohai website
  2. Choose a managed cloud, private-cloud, on-premises, or air-gapped deployment
  3. Start the 14-day trial
  4. Connect compute infrastructure such as virtual machines, Kubernetes, Slurm, cloud, or on premises
  5. Configure datasets, experiments, and pipelines
  6. Use the API or listed integrations for custom workflows
  7. Contact Sales for a subscription quote

Verdict

Valohai brings core MLOps workflow controls into one platform, with flexible compute and deployment choices. Teams should request a quote to assess its per-user subscription cost.

Questions

Is there a free plan?

No. Valohai offers a paid subscription and a 14-day trial.

How is pricing charged?

Pricing uses a fixed fee per user per month, with a custom quote from Sales.

Where can it be deployed?

Deployment options include managed cloud, private cloud, on premises, and air-gapped environments.

What integrations are listed?

Valohai lists a Hugging Face template, Snowflake, BigQuery, Redshift, and Slurm cluster management integration.

Does it provide an API?

Yes. Every platform operation is available through an API.

What security commitments are stated?

Valohai says it encrypts sensitive data at rest and in transit, does not store source code, and completed a SOC 2 Type II audit.

Facts from Valohai's own pages

API
Valohai says every platform operation is available through an API for custom integrations and workflows. · valohai.com, 1 Oct 2026
Company history
Valohai says it has helped data science teams since 2016. · valohai.com, 1 Oct 2026
Compute
The platform can autoscale compute and run workloads on virtual machines, Kubernetes, Slurm, cloud infrastructure, or on premises. · valohai.com, 1 Oct 2026
Data security
Valohai says it encrypts sensitive data at rest and in transit and that source code is not stored by the service. · valohai.com, 1 Oct 2026
Dataset management
Valohai versions datasets and caches them across executions so reused files do not need to be downloaded again. · valohai.com, 1 Oct 2026
Deployment options
The pricing page says Valohai can be deployed as a managed cloud service, on premises, in a private cloud, or in air-gapped environments. · valohai.com, 1 Oct 2026
Experiment tracking
The platform tracks and versions ML experiments to support reproducibility. · valohai.com, 1 Oct 2026
Founded
2016 · valohai.com, 28 Sept 2026
Headquarters
Turku, Finland · valohai.com, 28 Sept 2026
Integrations
Its ecosystem lists a Hugging Face template and connectors for Snowflake, BigQuery, and Redshift, plus Slurm cluster management integration. · valohai.com, 1 Oct 2026
Intended users
Valohai presents the platform for ML teams that need to build, test, and deploy models while managing compute, datasets, and pipelines. · valohai.com, 1 Oct 2026
Pipelines
Pipelines support step caching, conditional branches, human approval gates, and triggers on schedules, webhooks, or new data. · valohai.com, 1 Oct 2026
Price detail
The site says pricing is a fixed per-user monthly fee but does not publish the amount and directs prospective customers to Sales for a quote. · valohai.com, 1 Oct 2026
Purpose
Valohai describes itself as an MLOps platform for orchestrating machine learning workflows and managing compute, datasets, and pipelines. · valohai.com, 1 Oct 2026
SOC 2
Valohai states that Valohai Oy completed a SOC 2 Type II audit. · valohai.com, 1 Oct 2026
Support
Subscriptions include technical support from the Customer Engineering team, along with training and onboarding resources. · valohai.com, 1 Oct 2026

Where Valohai stands on Freedom251

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