Nomad UI

Supports containers (Docker, Podman), virtual machines (QEMU), and non-containerized applications (executable, Java) via pluggable task drivers, enabling mixed workloads on the same infrastructure without mandatory containerization.

Runs as a single binary with no external dependencies, combining resource management and scheduling into one system, which reduces setup complexity and handles failures automatically for high reliability.

Built-in device plugins for GPU, FPGA, and TPU workloads, making it ideal for machine learning and AI applications without requiring extra configuration or third-party tools.

Federates across multiple regions and clouds out-of-the-box, and has been proven to scale to clusters of 10,000+ nodes in production, ensuring high availability and performance at scale.