Microsoft Azure vs Fluidstack

Unified AI platform with a catalog of models, agents, and tools for building and governing AI applications

Seamless integration with Microsoft ecosystem and enterprise tools

Strong hybrid and multi-cloud support with Azure Arc

Industry-leading security features and compliance certifications

Extensive worldwide network of data centers and edge locations

Acquires power, designs and builds data centers, and operates them, with in-house hardware and software teams

Bare-metal container orchestration with NVIDIA GPU Operator and Network Operator support, passive and active health checks, and job/cluster observability

Bare-metal batch orchestration with user management, Pyxis/Enroot, health checks, and topology-aware scheduling to reduce collective communication latency

Monitoring and optimization system that catches problems before they impact workloads

Fully isolated infrastructure at hardware, network, and storage levels with no shared clusters

Direct engineering support with 15-minute response SLA and secure access controls