LeaseWeb
Best for Established AI businesses needing long-term, dedicated bare-metal servers with massive global bandwidth capacity.
from$0.70/ hr★ 8.8/10
Google Colab Pro
Available NowBest for Rapid prototyping and educational data science within a Jupyter environment.
While not a traditional IaaS provider, Google Colab Pro is arguably the most widely used GPU cloud platform among individual data scientists, students, and independent researchers. Operating as a managed Jupyter Notebook environment, Colab Pro provides near-instant access to premium GPUs like the NVIDIA A100 and V100 for a low monthly subscription fee based on compute units. It completely eliminates environmental setup, offering pre-installed machine learning libraries (TensorFlow, PyTorch), making it the absolute fastest way to prototype and train smaller AI models.
Pros & Cons
Pros
- Incredible value for prototyping
- Zero configuration necessary
- Seamless Google Drive integration
Cons
- Interruptible sessions
- Not suitable for production API hosting
Ideal Use Cases
EducationJupyter NotebooksPrototypingSmall-Scale Training
| GPU Models | A100, V100, T4 |
| GPU Types | A100, t4, V100 |
| Headquarters | Mountain View, CA |
| Founded | 2017 |
| Availability | Available Now |
| Website | colab.research.google.com ↗ |
$0.20/ hour (starting)—$1.20/ 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 →
Global
Starting from
$0.20/hr
Up to $1.20/hr
Frequently Asked Questions
Google Colab Pro GPU cloud pricing starts from $0.20/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.
Google Colab Pro offers A100, V100, T4 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Google Colab Pro operates data centers in Global. 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 Google Colab Pro and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Google Colab Pro 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.
