Verda
The Frontier AI Cloud
Last reviewed Mar 14, 2026
Verda (formerly DataCrunch) is an AI-focused cloud provider specializing in high-performance GPU instances, clusters, and inference services. Built by AI engineers for AI teams, offering full-stack cloud platform optimized for machine learning workflows.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: July 12, 2026
Pros & Cons
Advantages
- Extensive GPU catalog including latest NVIDIA Blackwell (B300, B200) and Hopper (H200, H100) architectures
- NVIDIA Preferred Partner with early access to cutting-edge hardware
- Cost-effective pricing with up to 90% savings vs hyperscalers
- EU-based with GDPR compliance and ISO 27001/27017/27018/27701 certifications
- 100% renewable energy-powered data centers
- InfiniBand and NVLink high-speed interconnects for multi-GPU workloads
- Developer-first experience with comprehensive API, SDK, and Terraform support
- Active AI R&D partnerships and contributions to frontier research
Limitations
- Primarily European data center presence
- Smaller ecosystem compared to major hyperscalers
- Specialized AI/ML focus may not suit general computing needs
- Limited availability for some high-demand GPU models
Key Features
Full-Stack AI Platform
Complete platform for AI development from experimentation to production deployment
High-Speed Interconnects
InfiniBand and NVLink for efficient multi-GPU communication and clustering
Security & Compliance
ISO 27001/27017/27018/27701 certified with GDPR compliance and EU sovereignty
Sustainable Computing
100% renewable energy-powered Nordic data centers
Developer Ecosystem
Web console, API, SDK, Terraform provider, and comprehensive documentation
Expert Support
Proactive support from ML infrastructure experts with 99.9%+ uptime
Compute Services
GPU Instances
On-demand virtual machines with 1x-8x NVIDIA GPUs and NVLink interconnects
Instant Clusters
Self-service access to 16x-128x GPU clusters with InfiniBand
Bare-metal Clusters
Custom-built GPU clusters tailored to specifications
Serverless Containers
Auto-scaling endpoints with pay-per-request pricing
Managed Endpoints
Pre-configured API endpoints for state-of-the-art models
Pricing Options
| Option | Details |
|---|---|
| Pay As You Go | Transparent hourly pricing with no upfront commitments |
| Spot Pricing | Access spare capacity at significant discounts for flexible workloads |
| Long-term Commitments | Volume discounts up to 25% with 1-2 year commitments |
Availability & Support
Regions
European data centers with focus on Nordic locations for optimal sustainability
Support
Expert AI/ML infrastructure support team, comprehensive documentation, 99.9%+ uptime SLA
Getting Started
- 1
Sign up for account
Create account at console.verda.com with email or GitHub
- 2
Add payment method
Add credit card for pay-as-you-go billing
- 3
Launch GPU instance
Select GPU model and configuration, deploy in minutes
- 4
Connect and develop
SSH access, JupyterLab, or API integration for your ML workloads
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