
NVIDIA DGX Cloud
Best for Massive Foundation Model Training, Enterprise Generative AI, Pharmaceutical Research

Best for Enterprise data teams wanting to run LLMs directly on their secure databases without managing external compute.
Snowflake Cortex is a fully managed, intelligent AI service integrated directly within the Snowflake Data Cloud. Rather than exporting massive enterprise datasets to external GPU clusters for processing, Cortex brings the compute (LLMs and ML models) directly to the data. Utilizing robust underlying GPU infrastructure abstracted entirely from the user, it allows data analysts to run foundational models, vector searches, and fine-tuning using simple SQL or Python commands. It is the ultimate platform for secure, data-centric AI.
| GPU Models | Managed Abstracted Infrastructure |
| GPU Types | Managed Abstracted Infrastructure |
| Headquarters | Bozeman, MT |
| Founded | 2012 |
| Availability | Available Now |
| Website | snowflake.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 →
Snowflake Cortex GPU cloud pricing starts from $1.50/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.
Snowflake Cortex offers Managed Abstracted Infrastructure GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Snowflake Cortex 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 Snowflake Cortex and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Snowflake Cortex 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 Massive Foundation Model Training, Enterprise Generative AI, Pharmaceutical Research

Best for On-demand GPU instances, SMEs, Sustainable Computing

Best for Enterprise teams prioritizing rapid AI deployment, AutoML, and strict model governance.