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Cloudera
Available NowBest for Large enterprises needing to run governed machine learning workloads directly on their existing hybrid data lakes.
Cloudera provides a massive hybrid data platform that has heavily integrated machine learning and generative AI capabilities (bolstered by acquisitions like Verta AI). Instead of moving massive enterprise datasets to external clouds for AI training, Cloudera Machine Learning (CML) allows organizations to run AI workloads directly where their data resides, whether on-premises or in public clouds. It provides secure, governed access to powerful compute for deploying predictive models and large language models within heavily regulated industries like banking and telecommunications.
Pros & Cons
Pros
- Runs AI directly on existing enterprise data lakes
- Incredible security and governance features
- Strong hybrid and multi-cloud capabilities
Cons
- Heavy enterprise licensing costs
- Overkill for small-scale independent developers
Ideal Use Cases
Enterprise Machine LearningHybrid Data CloudRegulated AI
| GPU Models | Managed Hybrid Compute |
| GPU Types | Managed Hybrid Compute |
| Headquarters | Santa Clara, CA |
| Founded | 2008 |
| Availability | Available Now |
| Website | cloudera.com ↗ |
$2.00/ hour (starting)—$10.00/ 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
On-Premises
Starting from
$2.00/hr
Up to $10.00/hr
Frequently Asked Questions
Cloudera GPU cloud pricing starts from $2.00/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.
Cloudera offers Managed Hybrid Compute GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Cloudera operates data centers in Global, On-Premises. 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 Cloudera and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Cloudera 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.
Explore More Options
By Region & GPU
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