Hugging Face Endpoints
Best for Deploying Hugging Face Models, Secure Managed Endpoints, LLM APIs
from$0.50/ hr★ 9.5/10
H2O.ai Cloud
Available NowBest for Organizations looking to rapidly deploy generative AI and RAG applications using a fully managed platform.
H2O.ai offers a comprehensive, fully managed cloud platform designed to democratize AI creation. Known for their world-class open-source distributed machine learning frameworks, the H2O AI Cloud allows organizations to rapidly build, deploy, and operate both predictive and generative AI applications. They provide a massive library of pre-trained models and highly optimized compute environments that handle the heavy lifting of GPU infrastructure, allowing businesses to rapidly prototype LLMs and RAG applications without managing a DevOps team.
Pros & Cons
Pros
- Rapid generative AI app deployment
- Strong open-source legacy and community
- Fully managed GPU compute
Cons
- Platform lock-in for certain AppStore features
- Less suited for bare-metal performance tuning
Ideal Use Cases
Automated Machine LearningGenerative AI AppsRAG Deployment
| GPU Models | A100, T4, Managed Clusters |
| GPU Types | A100, Managed Clusters, t4 |
| Headquarters | Mountain View, CA |
| Founded | 2012 |
| Availability | Available Now |
| Website | h2o.ai ↗ |
$2.50/ hour (starting)—$7.50/ 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
EU
APAC
Starting from
$2.50/hr
Up to $7.50/hr
Frequently Asked Questions
H2O.ai Cloud GPU cloud pricing starts from $2.50/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.
H2O.ai Cloud offers A100, T4, Managed Clusters GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
H2O.ai Cloud operates data centers in APAC, EU, US. 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 H2O.ai Cloud and other matching providers. You'll receive proposals within 24 hours — no commitment required.
H2O.ai Cloud 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.
