orquestra.

Build and Deploy AI Applications
on Orquestra®.

Rapidly prototype, benchmark and iterate Big Compute workflows across heterogeneous compute resources.

A closer look

How Orquestra works: deep dive.

01 – Build computational workflows

02 – Orchestrate across hardware backends

03 – Deploy applications to production

01 – Build computational workflows

01 – Build computational workflows

Build tasks and workflows alone, as a team, or with Zapata engineers.

Work at the right level: treat tasks as modular building-blocks or open them to modify the algorithms and hardware.

Leverage Orquestra’s open-source and proprietary algorithm libraries. Use tasks built with open-source tooling or Zapata’s proprietary algorithms.

02 – Orchestrate across hardware backends

02 – Orchestrate across hardware backends

With the ability to run on all major cloud platforms and heterogenous compute resources, Orquestra enables interoperability across all layers of the stack. It decouples the structure of a workflow from the details of underlying tasks, allowing the user to benchmark different implementations of a task.

Orquestra automatically scales up and exploits task parallelization opportunities to run faster.

03 – Deploy applications to production

03 – Deploy applications to production

Build applications that drive enterprise decision-making.

Run locally on laptops or workstations, in Orquestra’s Cloud Runtime, or deploy within private infrastructure.

Comply with rigorous security, operations, and regulatory requirements.