Microsoft Azure

Microsoft Azure, with its vast selection of cloud services, offers competitive AI and computing solutions tailored for large scale machine learning and data analysis. They lead with advancements such as the NVIDIA GB300 NVL72 clusters, featuring Blackwell Ultra GPUs and innovative networking technologies like NVIDIA InfiniBand.

Microsoft Azure identity

Provider Profile

Founded

2010

Headquarters

Redmond, Washington, USA

Pricing Model

Scalable pricing depending on services and resource consumption

Provider Console

Technical Specification

Target Audience
  • Enterprise ML
  • Researchers
  • High-performance computing needs
GPU Clusters & Offerings
  • NVIDIA GB300 NVL72 clusters
  • NVIDIA Blackwell Ultra GPUs
  • ND GB200 v6 and ND GB300 v6 VMs
  • Azure accelerated networking
  • Azure high-performance storage
  • Azure AI Foundry
Network Fabric
NVIDIA Quantum-X800 InfiniBand
Connectivity Bandwidth
800 Gbps per GPU cross-rack
Storage Architecture
High-performance storage solutions suitable for AI workloads
Compute Framework Compatibility
Optimized for major AI frameworks, details not explicitly mentioned
Resource Orchestration
Supports integration with major container orchestration platforms
Security Infrastructure
Hardware-rooted security, Built-in compliance and security standards
Developer Interface & APIs
CLI, SDK, REST API
Support Operations
24/7 support through multiple channels including online resources and direct customer service
Resource Availability
GA (General Availability)
Datacenter Locations
Regulatory Compliance
Built-in security and compliance standards
Key Platform Features
  • Large scale clusters for AI workloads
  • Advanced cooling systems for high-performance clusters
  • Hardware-rooted security
  • High-bandwidth, low-latency inter-GPU communication
  • Responsible AI guardrails integrated across Azure AI stack

Last Audit: February 2026