Thunder Compute offers one-click GPU instances for 80% less than traditional cloud providers. Spin up dedicated GPUs in seconds with VS Code integration, persistent data storage, and flexible hardware swapping. Perfect for ML engineers who want to develop on A100s without breaking the bank.
| Name | thundercompute |
| Total Instances | 6 |
| Minimum Price | $0.27/hr |
| Maximum VRAM | 80 GB |
| Available GPU Models |
Thunder Compute offers one-click GPU instances for 80% less than traditional cloud providers. Spin up dedicated GPUs in seconds with VS Code integration, persistent data storage, and flexible hardware swapping. Perfect for ML engineers who want to develop on A100s without breaking the bank.
Ready to rent GPUs from thundercompute? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →us
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On-demand Tesla T4 with customizable vCPUs and RAM, expandable persistent disk, 7-10 Gbps networking
✓ VS Code integration
✓ Persistent storage
✓ Hardware swapping
✓ No long-term commitments
On-demand A100 40GB with verified lowest rate, customizable vCPUs and RAM, expandable persistent disk
✓ VS Code integration
✓ Persistent storage
✓ Hardware swapping
✓ No long-term commitments
On-demand A100 80GB with verified lowest rate, customizable vCPUs and RAM, expandable persistent disk
✓ VS Code integration
✓ Persistent storage
✓ Hardware swapping
✓ No long-term commitments
| Accelerator | Price/Hour | VRAM | Type | Action |
|---|---|---|---|---|
| Tesla T4 | $0.27 | 16 GB | Turing | View GPU → |
| A100 | $0.66 | 40 GB | Ampere | View GPU → |
| A100 | $0.78 | 80 GB | Ampere | View GPU → |
| H100 | $1.47 | 80 GB | Hopper | View GPU → |
| A100 | $1.79 | 80 GB | Ampere | View GPU → |
| H100 | $3.29 | 80 GB | Hopper | View GPU → |
Explore GPU specifications and compare pricing for thundercompute
Explore alternative GPU cloud providers and compare pricing
Check CUDA compute capability and AI feature support for different GPUs
View Reference →thundercompute is a leading GPU cloud provider offering 6 instances across 3 different GPU models. With pricing starting at $0.27/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, Tesla T4, enabling a wide range of AI/ML applications from deep learning training to real-time inference.
When choosing thundercompute 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 thundercompute's pricing with other providers using our cost estimator tool. Many users find that thundercompute 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 thundercompute's website to create an account and start using their GPU instances.
Visit thundercompute →