DataCrunch
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Valohai
Available NowBest for Enterprise teams requiring perfect auditability, reproducibility, and automated infrastructure orchestration for deep learning.
Valohai is a powerful MLOps platform built for deep learning scale. Unlike traditional cloud providers that just hand you a virtual machine, Valohai acts as an orchestration layer on top of your preferred cloud (AWS, GCP) or on-premise hardware. It automates machine learning infrastructure, handling the spinning up of heavy GPU instances for training jobs, versioning the data, tracking hyperparameters, and shutting down the instances the second the job completes. It ensures massive cost savings and perfect reproducibility for enterprise data science teams.
Pros & Cons
Pros
- Total model reproducibility and data versioning
- Automates GPU spin-up and tear-down to save costs
- Cloud-agnostic (works with your existing AWS/GCP credits)
Cons
- You still pay for the underlying cloud infrastructure
- Enterprise-focused pricing model
Ideal Use Cases
Automated Model TrainingMLOps OrchestrationReproducible AI
| GPU Models | Orchestrated Compute (AWS, GCP, Azure, On-Prem) |
| GPU Types | Azure, GCP, On-Prem), Orchestrated Compute (AWS |
| Headquarters | Turku, Finland |
| Founded | 2016 |
| Availability | Available Now |
| Website | valohai.com ↗ |
$2.00/ hour (starting)—$8.00/ hr (max)
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
Global
Starting from
$2.00/hr
Up to $8.00/hr
Frequently Asked Questions
Valohai GPU cloud pricing starts from $2.00/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
Valohai offers Orchestrated Compute (AWS, GCP, Azure, On-Prem) GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Valohai operates data centers in Global. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to Valohai and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Valohai offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.
Explore More Options
By Region & GPU
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