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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

GPUvec currently tracks 6 verda instance configurations across 5 GPU models. The lowest observed rate in the dataset is $0.49/hour; the final price can vary by region, GPU count, host configuration, and billing terms.

The recorded catalog includes A100, H100, RTX 3090, RTX 4090, RTX A6000. GPUvec has location data for 1 region: finland.

When evaluating verda, compare memory capacity, accelerator generation, hourly rate, regional availability, billing granularity, storage, and network requirements. Framework support also depends on the selected image and driver stack, so verify CUDA and container versions before migration.

Use GPUvec's provider directory and GPU comparison tool to compare verda with alternatives on the same accelerator model. A like-for-like comparison avoids misleading conclusions caused by different GPU counts, CPUs, RAM allocations, or commitment terms.

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 September 02, 2026 • 2026 Edition

Ready to Get Started?

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

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What You Need to Know About verda

Complete Overview of verda GPU Cloud Services and Pricing

Get detailed information about verda's GPU cloud offerings, including available GPU models like RTX 4090, H100, A100, and L40S instances. Compare pricing structures, regional availability, and unique features that distinguish verda from other providers. Whether you need per-second billing, reserved instances, or spot pricing, understanding each provider's model helps you optimize your GPU spending.

Pricing per Hour for verda GPU Instances

Review the pricing structure for verda's GPU instances and compare hourly rates across different GPU models. GPUvec provides transparent pricing data so you can evaluate whether verda offers competitive rates for your AI training, inference, or rendering workloads compared to alternatives like RunPod, Vast.ai, or Lambda Labs.

How verda Compares to Other GPU Cloud Providers

See how verda stacks up against other GPU cloud providers in terms of pricing, GPU availability, geographic coverage, and unique features. Our detailed comparison helps you choose the best provider for your specific needs, whether you prioritize the lowest price per hour for RTX 4090 instances or the most reliable H100 availability for production workloads.