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Together provides GPU infrastructure for Cartesia's real-time voice AI

Together provides managed GPU infrastructure and cluster control to Cartesia, enabling them to handle demanding real-time voice inference workloads. Cartesia's system processes millions of audio minutes daily with a model latency of approximately 90ms, requiring robust infrastructure for continuous stream processing. AI

IMPACT Enables specialized AI applications like real-time voice processing by providing necessary infrastructure.

RANK_REASON This is a story about a company providing infrastructure to another company for a specific AI workload, not a core AI release or significant industry event.

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Together provides GPU infrastructure for Cartesia's real-time voice AI

COVERAGE [1]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    .@cartesia runs one of the hardest inference workloads: real-time voice.

    .@cartesia runs one of the hardest inference workloads: real-time voice. Their stack has to keep long-lived streams moving, serve millions of audio minutes a day, and hold model latency around 90ms. Together gives them the managed GPU infrastructure and low-level cluster