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ElevenLabs: Scaling Voice AI with GPU-Accelerated Infrastructure
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Description
ElevenLabs runs its voice AI platform for text-to-speech, voice cloning and speech-to-speech translation on Google Kubernetes Engine (GKE) with NVIDIA GPUs, using GPU optimization strategies such as Multi-Instance GPUs and GPU time sharing to improve utilization and reduce costs. The platform generates 600 hours of audio for every hour of real time, supports 29 languages (expanding to 40), and is reportedly used by 41% of Fortune 500 companies, powering products including AI Dubbing Studio, long-form audio for audiobooks and podcasts, article narration for outlets like The New York Times, and real-time conversational AI assistants.
…formance voice AI platform for voice cloning and multilingual speech synthesis, leveraging Google Cloud's GKE and NVIDIA GPUs for scalable deployment. They implemented GPU optimization strategies including multi-instance GPUs and…
…nthesis, leveraging Google Cloud's GKE and NVIDIA GPUs for scalable deployment. They implemented GPU optimization strategies including multi-instance GPUs and time-sharing to improve utilization and reduce costs, while successfully serving 600 hours of generated audio for every hour of real…
…i-instance GPUs and time-sharing to improve utilization and reduce costs, while successfully serving 600 hours of generated audio for every hour of real time across 29 languages. Industry Media & Entertainment Technologies compliance cost_optimization custom…
…ogy, including text-to-speech, voice cloning, and speech-to-speech translation. Their platform is reportedly used by 41% of Fortune 500 companies, and they generate an impressive 600 hours of audio for every hour in a day, hi…
Company
ElevenLabs
…I unicorns, backed by prominent investors like Andreessen Horowitz and Sequoia. The company specializes in voice technology, including text-to-speech, voice cloning, and speech-to-speech translation. Their platform is reportedly used by 41% of Fortune 500 companies, and they gen…
Industry
Media & Entertainment
…g 600 hours of generated audio for every hour of real time across 29 languages. Industry Media & Entertainment Technologies compliance cost_optimization customer_support devops fine_tuning g…
Problem
As one of the fastest-growing AI companies, ElevenLabs needed to run massive-scale voice AI inference — producing 600 hours of generated audio for every hour of real time — while improving GPU utilization and controlling infrastructure costs.
…rastructure that enables ElevenLabs to run their voice AI models in production. ElevenLabs is described as one of the fastest-growing AI unicorns, backed by prominent investors like Andreessen Horowitz and Sequoia. The company specializes in voice technology, including text-to-speech, voice cl…
…i-instance GPUs and time-sharing to improve utilization and reduce costs, while successfully serving 600 hours of generated audio for every hour of real time across 29 languages. Industry Media & Entertainment Technologies compliance cost_optimization custom…
Solution
ElevenLabs built its voice AI platform for text-to-speech, voice cloning and speech-to-speech translation on Google Kubernetes Engine (GKE) with NVIDIA GPUs, including H100s. It used GPU optimization strategies such as Multi-Instance GPUs (dividing a single GPU into seven hardware-isolated slices) and GPU Time Sharing (context-switching between processes on a GPU) to improve utilization and reduce costs. Its foundational model development followed an iterative approach: starting with a text-to-speech model, extending to multiple languages, adding voice cloning, and then building a speech-to-speech model for real-time translation.
…s provide the accelerated compute necessary for running demanding AI workloads. These include the H100 GPUs currently available and the upcoming Blackwell B200s and GB200 NVL 72 GPUs. The presentation mentions the A3 Mega VMs announcement, which bring 2x the band…
…are critical for LLMOps cost management. Three key approaches were highlighted: Multi-Instance GPUs (MIG) : GKE can divide a single supported GPU into seven slices, where each slice can be allocated to run one container or node while providing hardware isolation. This is particularly useful for smaller inference workloads that don’t require…
…y useful for smaller inference workloads that don’t require full GPU resources. GPU Time Sharing : This approach enables context switching between processes running on a GPU with software isolation between workloads. This allows multiple workloads to share a single GPU, improving utilization for…
Business value
The platform generates 600 hours of audio for every hour of real time, supports 29 languages (expanding to 40), and is reportedly used by 41% of Fortune 500 companies. It powers products including AI Dubbing Studio, long-form audio for audiobooks and podcasts, article narration for outlets like The New York Times, and real-time conversational AI assistants.
…i-instance GPUs and time-sharing to improve utilization and reduce costs, while successfully serving 600 hours of generated audio for every hour of real time across 29 languages. Industry Media & Entertainment Technologies compliance cost_optimization custom…
…ollowed an iterative approach: Started with a text-to-speech foundational model Extended the model to support multiple languages (currently 29, expanding to 40) Added voice cloning capabilities Created a speech-to-speech model for real-time…
…ogy, including text-to-speech, voice cloning, and speech-to-speech translation. Their platform is reportedly used by 41% of Fortune 500 companies, and they generate an impressive 600 hours of audio for every hour in a day, hi…
…e original speaker’s voice characteristics). Their production products include: AI Dubbing Studio : End-to-end dubbing workflow for video content Long-form Audio : Used for audiobooks and podcasts Article Narration : Embedded speech for articles, blogs, and websites (used by The New York Times, The New Yorker, and The Washington Post) Real-time Conversations : AI assistants, chatbots, and call centers The scale of their operations is notable—600 hours of audio generated for every…
AI capabilities
Speech & Audio AI, Generative AI, Conversational AI
…I unicorns, backed by prominent investors like Andreessen Horowitz and Sequoia. The company specializes in voice technology, including text-to-speech, voice cloning, and speech-to-speech translation. Their platform is reportedly used by 41% of Fortune 500 companies, and they gen…
Technology
Google Kubernetes Engine (GKE), NVIDIA H100 GPUs, Multi-Instance GPUs (MIG), GPU Time Sharing
…formance voice AI platform for voice cloning and multilingual speech synthesis, leveraging Google Cloud's GKE and NVIDIA GPUs for scalable deployment. They implemented GPU optimization strategies including multi-instance GPUs and…
…s provide the accelerated compute necessary for running demanding AI workloads. These include the H100 GPUs currently available and the upcoming Blackwell B200s and GB200 NVL 72 GPUs. The presentation mentions the A3 Mega VMs announcement, which bring 2x the band…
Deployment model
Cloud
…formance voice AI platform for voice cloning and multilingual speech synthesis, leveraging Google Cloud's GKE and NVIDIA GPUs for scalable deployment. They implemented GPU optimization strategies including multi-instance GPUs and…
Deployment options
cloud
…formance voice AI platform for voice cloning and multilingual speech synthesis, leveraging Google Cloud's GKE and NVIDIA GPUs for scalable deployment. They implemented GPU optimization strategies including multi-instance GPUs and…
Implementation approach
ElevenLabs' foundational model development followed an iterative approach: it started with a text-to-speech foundational model, extended it to support multiple languages (currently 29, expanding to 40), added voice cloning capabilities, and then created a speech-to-speech model for real-time translation.
…abs has built a comprehensive voice AI platform running on this infrastructure. Their foundational model development followed an iterative approach: Started with a text-to-speech foundational model Extended the model to support multiple languages (currently 29, expanding to 40) Added voice cloning capabilities Created a speech-to-speech model for real-time translation The live demonstration during the presentation showcased several capabilities:…
Capture details
- Captured
- 26 Aug 2026, 01:38 UTC
- Extractor
- fetch-strip@1
- Snapshot hash
- 0b34a992035b0e6659d9679d64c40980a7e50868b640cd5bededdbf03747d7c7