Outerbounds
Best for Data science teams utilizing Metaflow who want Netflix-scale infrastructure orchestration without managing Kubernetes or AWS Batch directly.
from$1.50/ hr★ 9.3/10
JarvisLabs.ai
Available NowBest for AI Researchers, Students, Fast Prototyping, Stable Diffusion
About JarvisLabs.ai
JarvisLabs.ai is an absolute favorite among independent AI researchers, Kaggle competitors, and students. They have stripped away all the complexity of cloud computing to offer immediate, 1-click access to Jupyter notebooks pre-loaded with PyTorch, TensorFlow, and fastai.
Unmatched Pricing for AI Research
By keeping overhead incredibly low, JarvisLabs offers some of the most competitive pricing in the industry for GPUs like the RTX A6000 and A100. It is the perfect cloud for fine-tuning models, running Stable Diffusion, or prototyping machine learning concepts without breaking the bank.
Pros & Cons
Pros
- Unbelievably cheap pricing for high-end consumer and enterprise GPUs
- 1-click setup for Jupyter Lab, VS Code, and fastai
- Incredible customer support directly from the founders
- Pause instances and only pay for storage when not computing
Cons
- Primary data centers are in India, which may add latency for US/EU interactive workflows
- Not designed for massive multi-node enterprise deployments
- Capacity for A100s can fill up quickly
Ideal Use Cases
Fine-TuningImage GenerationResearch
| GPU Models | A100, RTX 6000 Ada, RTX A6000, RTX 5000 |
| GPU Types | A100, A6000, rtx-6000-ada |
| Headquarters | Coimbatore, India |
| Founded | 2019 |
| Availability | Available Now |
| Website | jarvislabs.ai ↗ |
$0.19/ hour (starting)—$1.80/ hr (max)
💡 Pricing note: Rates shown are indicative. Final pricing depends on GPU model, reservation type (spot vs. on-demand), contract length, and region. Get an exact quote →
India
Starting from
$0.19/hr
Up to $1.80/hr
Frequently Asked Questions
JarvisLabs.ai GPU cloud pricing starts from $0.19/hr depending on GPU type, reservation model (on-demand vs. spot vs. reserved), and region. Use the quote form to get exact pricing for your specific workload.
JarvisLabs.ai offers A100, RTX 6000 Ada, RTX A6000, RTX 5000 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
JarvisLabs.ai operates data centers in Asia Pacific. Choosing a region close to your users minimises latency and can help with data residency compliance requirements.
Use the "Get a Quote" button on this page to submit your GPU requirements. ComputeStacker will forward your request to JarvisLabs.ai and other matching providers. You'll receive proposals within 24 hours — no commitment required.
JarvisLabs.ai offers high-performance GPU infrastructure suitable for large language model training and fine-tuning workloads. For large-scale distributed training, check the Specs tab for NVLink and InfiniBand interconnect availability.
