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Cartesia uses State Space Models for sub-100ms voice AI on AWS

By PulseAugur Editorial · [1 sources] ·

Cartesia, an AWS Partner, is leveraging State Space Models (SSMs) to build ultra-low-latency voice AI applications on AWS. Unlike traditional transformer models that struggle with streaming due to quadratic computation growth, SSMs process sequences step-by-step with a constant memory footprint, enabling sub-100ms text-to-speech and speech-to-text. This advancement is crucial for applications like virtual assistants, telehealth, and gaming where natural, human-like responsiveness is essential. AI

IMPACT Enables more natural and responsive voice AI interactions by overcoming latency limitations, potentially accelerating adoption in real-time applications.

RANK_REASON Article details how a specific company (Cartesia) uses a specific technology (SSMs) on a specific platform (AWS) to solve a specific problem (low-latency voice AI). This is not a frontier release from a major lab, nor a broad industry significant event, but a specific application of technology.

Read on AWS Machine Learning Blog →

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

Cartesia uses State Space Models for sub-100ms voice AI on AWS

How we ranked this

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38 / 100
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Tool
Article details how a specific company (Cartesia) uses a specific technology (SSMs) on a specific platform (AWS) to solve a specific problem (low-latency voice AI). This is not a frontier release f…
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, model release
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Nolan Chen ·

    Building ultra-low-latency voice AI applications on AWS

    Learn how Cartesia, an AWS Partner, uses purpose-built State Space Models and AWS infrastructure to deliver sub-100ms text-to-speech and speech-to-text at global scale, and how to deploy its Sonic model on Amazon SageMaker AI or self-managed Amazon EC2 GPU instances.

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