Modal is a serverless cloud platform designed for developers to run GPU-accelerated workloads with ease. It offers a seamless way to deploy and scale AI/ML models, data processing, and compute-intensive applications without managing infrastructure. With fast cold-start times, support for multiple GPU types, and a pay-per-use pricing model, Modal empowers teams to accelerate development and production workflows efficiently.
| Name | modal |
| Total Instances | 0 |
| Minimum Price | $0.00/hr |
| Maximum VRAM | 0 GB |
| Available GPU Models | N/A |
Modal is a serverless cloud platform designed for developers to run GPU-accelerated workloads with ease. It offers a seamless way to deploy and scale AI/ML models, data processing, and compute-intensive applications without managing infrastructure. With fast cold-start times, support for multiple GPU types, and a pay-per-use pricing model, Modal empowers teams to accelerate development and production workflows efficiently.
Ready to rent GPUs from modal? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →Built for small teams and independent developers looking to level up.
✓ Crons and web endpoints (limited)
✓ Real-time metrics and logs
✓ Region selection
Free Credits: $30 / month
Built for startups and larger organizations looking to scale quickly.
✓ Unlimited crons and web endpoints
✓ Custom domains
✓ Static IP proxy
✓ Deployment rollbacks
Free Credits: $100 / month
For organizations prioritizing security, support, and everlasting confidence.
✓ Support via private Slack
✓ Personalized integration help
✓ Audit logs, Okta SSO, and HIPAA
Free Credits: $Custom
| Accelerator | Price/Hour | VRAM | Type | Action |
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Explore alternative GPU cloud providers and compare pricing
Check CUDA compute capability and AI feature support for different GPUs
View Reference →modal is a leading GPU cloud provider offering 0 instances across 0 different GPU models. With pricing starting at $0.00/hour, they provide competitive options for AI training, inference, and high-performance computing workloads.
Their infrastructure spans 3 regions, making it easy to deploy GPU instances close to your users or data sources. The provider supports popular NVIDIA GPUs including H100, A100, and RTX 4090, enabling a wide range of AI/ML applications from deep learning training to real-time inference.
When choosing modal 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 modal's pricing with other providers using our cost estimator tool. Many users find that modal 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 modal's website to create an account and start using their GPU instances.
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