Cudo Compute
Best for Sustainable AI Compute, Green HPC, EU-based AI Inference
from$0.20/ hr★ 8.5/10
Lightning AI
Available NowBest for AI Researchers, PyTorch Lightning Users, Collaborative Model Development
About Lightning AI
Founded by the creators of PyTorch Lightning, Lightning AI aims to be the ultimate operating system for artificial intelligence. Their flagship product, Lightning Studios, offers browser-based deep learning environments that allow researchers to code collaboratively, just like Google Docs, but backed by massive GPU power.
Train PyTorch Lightning Models
The platform eliminates MLOps headaches. You can write your code on a free CPU instance and, with a single click, instantly scale your job to a cluster of NVIDIA H100s. It is a premier environment for teams looking to accelerate their AI research without hiring dedicated cloud architects.
Pros & Cons
Pros
- Lightning Studios offer incredible browser-based deep learning environments
- Created by the founders of the PyTorch Lightning framework
- Seamlessly transition from a small CPU laptop to massive multi-node GPU clusters
- Excellent tools for building conversational AI and deploying models instantly
Cons
- Tightly coupled to the PyTorch ecosystem (less ideal for pure JAX or TF workflows)
- Cloud pricing abstracts away underlying raw compute costs
- Platform focuses more on the development experience than bare-metal enterprise hosting
Ideal Use Cases
Fine-TuningmlopsResearch
| GPU Models | H100, A100, T4 |
| GPU Types | A100, H100, t4 |
| Headquarters | New York, NY, USA |
| Founded | 2019 |
| Availability | Available Now |
| Website | lightning.ai ↗ |
$0.80/ hour (starting)—$3.50/ 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 →
US
Starting from
$0.80/hr
Up to $3.50/hr
Frequently Asked Questions
Lightning AI GPU cloud pricing starts from $0.80/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.
Lightning AI offers H100, A100, T4 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Lightning AI operates data centers in US East, US West. 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 Lightning AI and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Lightning 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.
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