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.
| 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.
Ready to rent GPUs from verda? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →| 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 → |
Explore GPU specifications and compare pricing for verda
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View Reference →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.
Learn more about GPUs from these authoritative sources:
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
Visit verda's website to create an account and start using their GPU instances.
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