
FluidStack
Best for Enterprise AI Training, Multi-Tenant GPU Clusters, Cost-Effective H100 Access

Best for Enterprises pre-training custom LLMs on proprietary data securely.
Following its acquisition by Databricks, MosaicML represents the pinnacle of enterprise-managed generative AI training platforms. MosaicML abstracts the nightmare of managing massive GPU clusters, allowing data teams to securely pre-train, fine-tune, and deploy custom Large Language Models using their own proprietary data. Their platform focuses heavily on training efficiency, often reducing the cost and time to train a billion-parameter model by up to 70%. It is the premier choice for Fortune 500 companies building sovereign AI models within the Databricks ecosystem.
| GPU Models | H100, A100 |
| GPU Types | A100, H100 |
| Headquarters | San Francisco, CA |
| Founded | 2020 |
| Availability | Waitlist |
| Website | mosaicml.com ↗ |
💡 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 →
MosaicML Cloud (Databricks) GPU cloud pricing starts from $3.50/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.
MosaicML Cloud (Databricks) offers H100, A100 GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
MosaicML Cloud (Databricks) operates data centers in 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 MosaicML Cloud (Databricks) and other matching providers. You'll receive proposals within 24 hours — no commitment required.
MosaicML Cloud (Databricks) 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.

Best for Enterprise AI Training, Multi-Tenant GPU Clusters, Cost-Effective H100 Access

Best for ML Notebooks, AI Model Development, Research, Computer Vision

Best for Companies looking to drastically reduce inference costs by optimizing models to run on cheaper GPUs.