Union.ai, a recognized leader in AI orchestration, has officially introduced Flyte 2.0, the next-generation open-source orchestration engine tailored for advanced AI, ML, and agentic workloads. By releasing this upgrade, the company sets a new benchmark for how organizations manage increasingly complex AI systems. Currently available in private beta through Union’s platform, Flyte 2.0 promises to deliver unmatched flexibility and resilience.

Unlike traditional orchestrators, Flyte 2.0 takes a bold step forward with a fully dynamic, fault-tolerant, and resource-aware orchestration framework. This approach ensures workflows can adapt in real time, a crucial capability as AI models evolve to handle diverse and long-running processes.

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Ketan Umare, CEO and Co-Founder of Union.ai, emphasized the urgent need for this shift. He explained, “Most orchestrators still assume AI workloads behave like batch jobs with a static DAG defining their workflows. But today’s systems are dynamic, long-running, and require infrastructure that adapts in real time. Flyte 2.0 is built to support this shift, combining a best-in-class developer experience with a resilient, scalable execution engine.”

For nearly a decade, Flyte has served as the go-to open-source ML orchestrator, trusted by more than 4,000 companies including Amazon, LinkedIn, Stripe, and Expedia. With tens of millions of downloads, Flyte has powered everything from large language model (LLM) pipelines to genomics workloads. Flyte 2.0 builds on this proven foundation by prioritizing scale, flexibility, and developer productivity.

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Some of its standout features include:

  • Pure Python authoring: Developers can create workflows directly in Python without relying on custom DSLs, streamlining integration with existing codebases.
  • Streamlined debugging: Built-in observability offers full visibility into execution states, logs, and errors, while interactive reruns simplify debugging.
  • Dynamic orchestration: Real-time branching, looping, and adaptive resource allocation enable smarter workload management, while static DAGs remain supported.
  • Scalable workflows: Multi-container pipelines and autoscaling including scale-to-zero reduce infrastructure costs while ensuring performance.
  • Resilient pipelines: Features like built-in caching, retries, and custom error handling strengthen workflow reliability.
  • Rapid iteration guardrails: Execution versioning, multi-tenancy across environments, and on-demand infrastructure provisioning simplify collaboration and cost control.

Furthermore, Flyte 2.0 serves as a fully capable agent runtime, optimized for long-running and resource-diverse agent workflows. It integrates seamlessly into Union 2.0, the company’s broader platform that also provides enterprise-grade observability, collaboration tools, and compliance support for regulated industries.

By rolling out Flyte 2.0, Union.ai demonstrates its commitment to reshaping the orchestration landscape and empowering enterprises to scale AI systems with confidence and efficiency.

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