Fluidstack vs Google Cloud

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

Scalable virtual machines with a wide range of machine types, including GPUs.

Managed Kubernetes service for deploying and managing containerized applications.

Event-driven serverless compute platform.

Fully managed serverless platform for containerized applications.

Unified ML platform for building, deploying, and managing ML models.

Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.