jarvislabs GPU Cloud Provider
JarvisLabs is a beginner-friendly cloud GPU platform designed for data scientists and students, offering pre-configured Jupyter notebooks and flexible NVIDIA GPU options with a wallet-based payment system.
Provider Overview
| Name | jarvislabs |
| Total Instances | 6 |
| Minimum Price | $0.39/hr |
| Maximum VRAM | 80 GB |
| Available GPU Models |
JarvisLabs is a beginner-friendly cloud GPU platform designed for data scientists and students, offering pre-configured Jupyter notebooks and flexible NVIDIA GPU options with a wallet-based payment system.
Get Started with jarvislabs
Ready to rent GPUs from jarvislabs? Sign up now to explore available instances and start your AI workloads.
Visit Provider Website →About the Provider
Available Instances
| Accelerator | Price/Hour | VRAM | Type | Action |
|---|---|---|---|---|
| H100 | $2.80 | 80 GB | Hopper | View GPU → |
| RTX 5000 | $0.39 | 16 GB | Quadro | View GPU → |
| A5000 | $0.49 | 24 GB | Ampere | View GPU → |
| A6000 | $0.79 | 48 GB | Ampere | View GPU → |
| RTX 6000 Ada | $0.99 | 48 GB | Ada Lovelace | View GPU → |
| A100 | $1.29 | 40 GB | Ampere | View GPU → |
Available GPUs
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Related Resources
Compute Capability
Check CUDA compute capability and AI feature support for different GPUs
View Reference →About jarvislabs GPU Cloud
jarvislabs is a leading GPU cloud provider offering 6 instances across 6 different GPU models. With pricing starting at $0.39/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, A5000, A6000, enabling a wide range of AI/ML applications from deep learning training to real-time inference.
When choosing jarvislabs 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 jarvislabs's pricing with other providers using our cost estimator tool. Many users find that jarvislabs 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:
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
Ready to Get Started?
Visit jarvislabs's website to create an account and start using their GPU instances.
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