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Zero Latency Launches Zerogrid Closed Beta, a Distributed AI Inference Grid

Zero Latency (0.lat), formerly Hyphastructure, announces the closed beta of Zerogrid, a distributed AI inference grid that routes workloads to edge capacity meeting latency, data gravity, and bursting constraints. The beta is open to select Fortune 1000 enterprises, tier 1 telecoms, fiber operators, and enterprise DevOps platforms. Zerogrid's architecture is modeled on distributed virtual power plants, aggregating edge clusters into a unified compute pool dispatched day-ahead and in real-time. Founder Michael Huerta emphasizes applying decentralized energy infrastructure logic to AI inference, addressing constraints that cloud and on-prem solutions cannot.

SourceAIwireAuthor: Andrew Jolly
Zero Latency Launches Zerogrid Closed Beta, a Distributed AI Inference Grid
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  • Zero Latency launches Zerogrid closed beta, a distributed grid routing AI inference workloads based on latency, data gravity, and bursting constraints.
  • Beta available to Fortune 1000 companies, tier 1 telecoms and fiber operators, and enterprise DevOps platforms, with a dashboard and upcoming CLI.
  • Zerogrid’s architecture is inspired by virtual power plants, aggregating U.S.-based edge compute clusters into a single dispatchable pool.
  • The company targets the gap left by cloud and on-prem architectures for inference with hard constraints on latency and data residency.

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