Verda
The full-stack 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: October 11, 2026
| A100 SXM | 1×2×4× | 1×2×4× | |||||
| A100 SXM | 8× | 8× | |||||
| A100 SXM 40GB | 1× | 1× | |||||
| A100 SXM 40GB | 8× | 8× | |||||
| B200 | 1× | 1× | |||||
| B200 | 2×4× | 2×4× | |||||
| B200 | 8× | 8× | |||||
| GB300 | 1×2× | 1×2× | |||||
| GB300 | 4× | 4× | |||||
| H100 SXM | 1×2× | 1×2× | |||||
Verda pricing by GPU
Configurations, price rank, and alternatives for one GPU at a time.
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, Verda CLI, Terraform and OpenTofu providers, and comprehensive documentation
In-House AI Lab
Internal research team contributing to open inference projects such as SGLang and vLLM and co-researching with customers
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
Frequently Asked Questions
What GPU types does Verda offer?
Verda offers various GPU types including RTX A6000, RTX A6000, RTX A6000, RTX A6000, RTX A6000, RTX A6000, RTX A6000, RTX A6000, A100 SXM, A100 SXM, A100 SXM, A100 SXM, A100 SXM, A100 SXM, A100 SXM, A100 SXM, H100 SXM, H100 SXM, H100 SXM, H100 SXM, H100 SXM, H100 SXM, H100 SXM, H100 SXM, H200, H200, H200, H200, H200, H200, H200, H200, A100 SXM 40GB, A100 SXM 40GB, A100 SXM 40GB, A100 SXM 40GB, RTX 6000 Ada, RTX 6000 Ada, RTX 6000 Ada, RTX 6000 Ada, RTX 6000 Ada, RTX 6000 Ada, RTX 6000 Ada, RTX 6000 Ada, HGX B300, HGX B300, HGX B300, HGX B300, HGX B300, HGX B300, HGX B300, HGX B300, GB300, GB300, GB300, GB300, GB300, GB300, L40S, L40S, L40S, L40S, L40S, L40S, L40S, L40S, B200, B200, B200, B200, B200, B200, B200, B200, Tesla V100, Tesla V100, Tesla V100, Tesla V100, Tesla V100, Tesla V100, Tesla V100, Tesla V100, RTX PRO 6000, RTX PRO 6000, RTX PRO 6000, RTX PRO 6000, RTX PRO 6000, RTX PRO 6000, RTX PRO 6000, RTX PRO 6000. Check the pricing table above for current availability and pricing.
How do I get started with Verda?
Sign up for account, Add payment method, Launch GPU instance, Connect and develop
What are Verda's main advantages?
Verda's main advantages include: 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.
What are Verda's limitations?
Verda's main limitations include: 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.
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