Provider Overview
Strengths & Best For
Microsoft Azure offers ND H100 v5 and NC A100 v4 series VMs across 60+ regions, with enterprise compliance certifications including HIPAA, FedRAMP, and SOC 2 built in. Deep Active Directory and hybrid cloud integration makes it the natural GPU cloud for Microsoft-centric organizations running LLM fine-tuning or AI inference at scale. On-demand, reserved, and spot GPU billing options are available with flexible commitment terms.
- Enterprise compliance
- Active Directory integration
- Hybrid cloud
- Microsoft 365 ecosystem
CoreWeave is a purpose-built GPU cloud offering H100 SXM5, H200, and A100 clusters with InfiniBand and NVLink interconnects for large-scale AI training and LLM fine-tuning. On-demand and reserved H100 instances are available across US East, US West, and EU regions, with some of the highest GPU density and lowest latency networking of any specialist cloud. A top choice for AI labs and enterprises running multi-node distributed training at scale.
- Highest GPU density
- InfiniBand networking
- Kubernetes-native
- Fast provisioning
Live GPU Pricing
Region Coverage
Popular Comparisons
Azure — hyperscaler provider
Microsoft Azure offers ND H100 v5 and NC A100 v4 series VMs across 60+ regions, with enterprise compliance certifications including HIPAA, FedRAMP, and SOC 2 built in. Deep Active Directory and hybrid cloud integration makes it the natural GPU cloud for Microsoft-centric organizations running LLM fine-tuning or AI inference at scale. On-demand, reserved, and spot GPU billing options are available with flexible commitment terms.
CoreWeave — specialist provider
CoreWeave is a purpose-built GPU cloud offering H100 SXM5, H200, and A100 clusters with InfiniBand and NVLink interconnects for large-scale AI training and LLM fine-tuning. On-demand and reserved H100 instances are available across US East, US West, and EU regions, with some of the highest GPU density and lowest latency networking of any specialist cloud. A top choice for AI labs and enterprises running multi-node distributed training at scale.
Billing model comparison
Azure uses a Pay-as-you-go, Reserved (1yr/3yr), Spot billing model with a minimum commitment of None (pay-as-you-go). CoreWeave uses On-demand, Reserved billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Azure is best suited for: Enterprise ML, Windows-based workloads, Teams on Microsoft stack. Its key strengths are enterprise compliance, active directory integration, hybrid cloud. CoreWeave is best suited for: Large-scale AI training, LLM fine-tuning, High-throughput inference. Its key strengths are highest gpu density, infiniband networking, kubernetes-native. As a hyperscaler, Azure offers broader ecosystem integration and compliance certifications at a premium price. CoreWeave as a specialist provider typically offers lower per-GPU rates for teams that don't need the full hyperscaler ecosystem.
Support tiers and region coverage
Azure offers Basic → Premier support across 5 regions (eastus, westus2, westeurope and 2 more). CoreWeave offers Standard → Enterprise support across 3 regions (US-East, US-West, EU-West). Azure's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Azure vs CoreWeave
Azure was founded in 2010 and is headquartered in Redmond, WA. CoreWeave was founded in 2017 and is headquartered in Roseland, NJ. Azure has 7 years more operational history than CoreWeave, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.