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
Explore GPU specifications and compare pricing for jarvislabs
Compare with Other Providers
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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
GPUvec currently tracks 6 jarvislabs instance configurations across 6 GPU models. The lowest observed rate in the dataset is $0.39/hour; the final price can vary by region, GPU count, host configuration, and billing terms.
The recorded catalog includes A100, A5000, A6000, H100, RTX 5000. GPUvec has location data for 1 region: india.
When evaluating jarvislabs, 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 jarvislabs 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:
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.
Visit jarvislabs →What You Need to Know About jarvislabs
Complete Overview of jarvislabs GPU Cloud Services and Pricing
Get detailed information about jarvislabs'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 jarvislabs 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 jarvislabs GPU Instances
Review the pricing structure for jarvislabs's GPU instances and compare hourly rates across different GPU models. GPUvec provides transparent pricing data so you can evaluate whether jarvislabs offers competitive rates for your AI training, inference, or rendering workloads compared to alternatives like RunPod, Vast.ai, or Lambda Labs.
How jarvislabs Compares to Other GPU Cloud Providers
See how jarvislabs 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.