
Cirrascale Cloud Services
Best for Autonomous Vehicle Research, NLP Training, AI Hardware Testing

Best for Developers and enterprises migrating AI workloads from NVIDIA to Intel Gaudi accelerators.
The Intel Developer Cloud provides raw, direct access to Intel’s latest AI hardware, most notably the Gaudi 3 AI accelerators and Xeon Scalable processors. Designed to break the NVIDIA monopoly, Intel offers highly subsidized cloud environments for developers to test, optimize, and train massive deep learning models on their architecture. For enterprises looking for cost-effective alternatives to H100 clusters, the Intel Developer Cloud offers an unparalleled testing ground with deep software integration via oneAPI, ensuring code portability and massive cost savings on inference at scale.
| GPU Models | Gaudi 3, Xeon Max, Data Center GPU Max |
| GPU Types | Data Center GPU Max, Gaudi 3, Xeon Max |
| Headquarters | Santa Clara, CA |
| Founded | 1968 |
| Availability | Available Now |
| Website | cloud.intel.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 →
Intel Developer Cloud 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.
Intel Developer Cloud offers Gaudi 3, Xeon Max, Data Center GPU Max GPU instances. Availability varies by region and configuration. Contact the provider through ComputeStacker for current availability.
Intel Developer Cloud operates data centers in US East, US West. 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 Intel Developer Cloud and other matching providers. You'll receive proposals within 24 hours — no commitment required.
Intel Developer 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.

Best for Autonomous Vehicle Research, NLP Training, AI Hardware Testing

Best for Large enterprises requiring cloud-like consumption models but demanding that hardware remains physically on-premises.

Best for MLOps Teams, Spot Instance Arbitrage, Dynamic Cloud Scaling