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Human-sounding text-to-speech on any hardware

Production voice synthesis with compiler-optimized latency. Serve TTS models on NVIDIA, AMD, and Apple Silicon with the same codebase. No rewrites. No lock-in.

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Blue and gray soundwave graphic above text highlighting '4x Performance,' '#1 on Artificial Analysis,' and '70% Lower TTS cost.'Graphic showing sound waveforms in blue and white with text highlighting 4x performance, #1 in artificial analysis, and 70% lower text-to-speech cost.

Powering the #1 ranked speech model

“70% lower TTS costs and 4x performance — unlocking both NVIDIA and AMD GPUs for the first time.”

Inworld AI Engineering
TTS 1 Max, #1 on Artificial Analysis
Read Inworld Case study
We made state-of-the-art speech synthesis scalable, and achieved a truly remarkable improvement both for the latency and throughput.

Why run voice synthesis on Modular?

  • Ultra-low latency voice serving

    Voice synthesis demands real-time response - every millisecond of latency is audible. Modular's AI stack fuses the entire inference path into a single compiled unit, eliminating the overhead that makes wrapper-based stacks too slow for live audio. Continuous batching and KV-cache optimization keep throughput high even under concurrent request load.

    REAL-TIME AUDIO DEMANDS COMPILED PERFORMANCE

  • Scale to zero, burst to thousands

    Voice traffic is spiky - a product launch, a marketing campaign, a viral moment. Modular Cloud's compiler-aware auto-scaling handles burst without pre-provisioning idle GPUs. Scale to zero when quiet, spin up replicas in seconds when demand hits. Most voice providers charge for idle capacity. You shouldn't.

    COMPILER-AWARE AUTO-SCALING. NO IDLE GPU COSTS.

  • Custom voice model deployment

    Bring your proprietary TTS, voice cloning, or speech-to-speech model. Modular Cloud compiles and serves it on dedicated infrastructure with custom Mojo kernels for novel architectures. Your voice is your brand - don't run it on someone else's black box.

    YOUR VOICE MODEL. CUSTOM KERNELS. MANAGED INFRA.

  • Dual GPU vendor support

    Run voice models on NVIDIA or AMD from the same container. When AMD MI300X offers better price-performance for your TTS workload, shift without rewriting a line of code. At the token volumes voice synthesis requires, GPU vendor choice is a significant cost lever.

    NVIDIA + AMD. SAME MODEL. SAME CONTAINER.

  • On-device with Apple Silicon

    MAX compiles voice models natively for Apple Silicon - M-series Macs, iPads, and beyond. Run TTS inference locally with no network round-trip, no cloud dependency, and no data leaving the device. Ideal for privacy-sensitive applications, offline use cases, and edge deployments where latency to a cloud endpoint is unacceptable.

    LOCAL INFERENCE. ZERO LATENCY. ZERO DATA EGRESS.

    • Built for production voice applications

    • AI phone agents and call centers

      Real-time conversational voice with sub-100ms latency. Deploy on NVIDIA for throughput or AMD for cost — or both simultaneously for resilience.

      Diagram showing a central audio processing unit connecting six input audio applications on the left to six output audio applications on the right.

    • Interactive gaming and virtual worlds

      Character voice synthesis at scale. Inworld AI serves millions of TTS requests across GPU vendors for real-time game characters.

      Low-poly 3D astronaut figure facing a small flame-headed character, both with speech bubbles showing blue sound wave icons.

    Modular vs. the competition

      • Burst Scaling for Spiky Traffic

        Compiler-aware auto-scaling spins up voice replicas in seconds. Scale to zero when quiet. No pre-provisioned idle GPUs burning cost between traffic spikes.

      • Hardware Portability

        Run TTS on NVIDIA and AMD simultaneously. Shift voice workloads to whichever GPU offers better price-performance. Inworld AI proves this at #1 on Artificial Analysis.

      • Compiler-Fused TTS Pipeline

        Attention, vocoder, and audio encoding compiled and optimized as a single fused graph through MLIR. Every stage of the voice pipeline is optimized together, not stitched together.

      • Custom Voice Model Support

        Bring proprietary TTS, voice cloning, or speech-to-speech models. Deploy with custom Mojo kernels for novel audio architectures. Your voice is your brand - own the stack.

      • On-Device Voice

        Apple Silicon support for on-device voice synthesis. Zero network latency, zero data egress. Run TTS locally for privacy-sensitive and offline use cases.

    • Alternatives
      • Vendor Lock-In

        ElevenLabs, PlayHT, Cartesia are proprietary models on NVIDIA-only infrastructure. Zero GPU vendor choice. Higher costs.

      • Runtime Wrappers

        PyTorch runtime with no cross-layer optimization. Attention, vocoder, and encoding run as separate unoptimized stages. Higher latency, lower throughput.

      • No Custom Model Path

        Use their models or nothing. No support for proprietary TTS architectures. No kernel-level programmability for novel audio pipelines.

      • Cloud-Only Voice

        No on-device deployment path. Every synthesis request requires a network round-trip. No option for local, private, or offline voice.

      • Static Capacity

        Pay per character regardless of traffic volume, or reserve fixed capacity and pay for idle GPUs. No compiler-aware scaling. No scale-to-zero.

    Get started with Modular

    • Request a demo

      Schedule a demo of Modular and explore a custom end-to-end deployment built around your models, hardware, and performance goals.

      • Distributed, large-scale online inference endpoints

      • Highest-performance to maximize ROI and latency

      • Deploy in Modular cloud or your cloud

      • View all features with a custom demo

      Book a demo

      Talk with our sales lead Jay!

      30min demo.  Evaluate with your workloads.  Ask us anything.

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