Union’s December Newsletter
Read on for a re:Invent recap, new features, upcoming events, and job openings.
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Blog
Home of workflow orchestration for data and ML at scale.
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Cost Observability for AI: Transparency That Lowers Costs
Building scalable machine learning projects is challenging enough without the added burden of hidden or unpredictable infrastructure costs.
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Actors: Faster, Cheaper AI Workflows with Stateful Containers
AI workflows often use containers as isolated environments per task, but each spin-up requires initializing dependencies, configuring models, and loading data, slowing down workflows that need rapid, repeated executions.
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Union: The Unified AI Platform
Developing and deploying AI models at scale is challenging. Many teams face obstacles like disconnected workflows, runaway or prohibitive infrastructure costs, and slow time-to-market for AI solutions.
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