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verda GPU Cloud Provider

Verda (formerly DataCrunch) - GPU cloud provider offering high-performance NVIDIA GPU instances for AI, machine learning, and scientific computing. Based in Finland with scalable configurations.

verda Cloud Provider - GPU Computing Services

Provider Overview

Name verda
Total Instances 6
Minimum Price $0.49/hr
Maximum VRAM 80 GB
Available GPU Models

Verda (formerly DataCrunch) - GPU cloud provider offering high-performance NVIDIA GPU instances for AI, machine learning, and scientific computing. Based in Finland with scalable configurations.

Get Started with verda

Ready to rent GPUs from verda? Sign up now to explore available instances and start your AI workloads.

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About the Provider

Regions

finland

GPU Models

5

Instances

6

Available Instances

Accelerator Price/Hour VRAM Type Action
RTX 4090 $0.89 24 GB GPU View GPU →
H100 $2.49 80 GB GPU View GPU →
A100 $1.99 80 GB GPU View GPU →
A100 $1.49 40 GB GPU View GPU →
RTX A6000 $1.29 48 GB GPU View GPU →
RTX 3090 $0.49 24 GB GPU View GPU →

Related Resources

GPU Comparison

Compare GPUs side-by-side to find the best match for your workload

Compare GPUs →

Compute Capability

Check CUDA compute capability and AI feature support for different GPUs

View Reference →

All Providers

Browse and compare all GPU cloud providers in one place

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About verda GPU Cloud

verda is a leading GPU cloud provider offering 6 instances across 5 different GPU models. With pricing starting at $0.49/hour, they provide competitive options for AI training, inference, and high-performance computing workloads.

Their infrastructure spans 1 regions, making it easy to deploy GPU instances close to your users or data sources. The provider supports popular NVIDIA GPUs including A100, H100, RTX 3090, enabling a wide range of AI/ML applications from deep learning training to real-time inference.

When choosing verda for your GPU cloud needs, consider factors like pricing, regional availability, and supported GPU models. Their platform integrates with popular ML frameworks like PyTorch, TensorFlow, and JAX, making it straightforward to migrate existing workloads or start new projects.

For cost optimization, compare verda's pricing with other providers using our cost estimator tool. Many users find that verda offers competitive rates for long-running training jobs or high-throughput inference workloads, especially when utilizing their spot or preemptible instance options.

External Resources

Learn more about GPUs from these authoritative sources:

NVIDIA CUDA Documentation →

Official CUDA programming guide

NVIDIA GPU Specifications →

Official NVIDIA GPU specs

TechPowerUp GPU Database →

Comprehensive GPU specifications

CUDA Compute Capability Guide →

GPU compute capability reference

Updated April 21, 2026 • 2026 Edition

Ready to Get Started?

Visit verda's website to create an account and start using their GPU instances.

Visit verda →