ElevenLabs expands partnership with Google Cloud

ElevenLabs and Google Cloud strengthen collaboration to offer advanced AI voice tools for global businesses.

ElevenLabs and Google Cloud have announced an extension of their partnership. The multi-year agreement is intended to make high-quality artificial intelligence (AI) voice tools more widely accessible to businesses. The collaboration supports ElevenLabs’ products, which can power real-time voice agents and localise content in more than 70 languages, using Google Cloud’s global AI infrastructure and NVIDIA hardware.

ElevenLabs will use Google Cloud’s G4 virtual machines (VMs), equipped with NVIDIA RTX PRO 6000 Blackwell GPUs, to train and deploy its voice models. The agreement provides access to a larger cluster of NVIDIA GPUs, allowing ElevenLabs to support enterprise-scale deployments and provide its research teams with optimised AI compute resources.

Enterprises in sectors such as financial services, retail, and telecommunications use ElevenLabs to deploy AI agents that respond naturally and quickly in multiple languages. The technology also enables businesses to localise large content libraries into over 70 languages, maintain consistent brand voices, and produce multimedia assets for applications including advertising, internal training, and customer education.

The partnership has enabled the launch of ElevenLabs’ solutions on the Google Cloud Marketplace, allowing customers to scale conversational agents for purposes such as customer support and internal training. The agreement supports wider access to ElevenLabs’ AI voice and conversational solutions for global enterprise customers.

ElevenLabs is also integrating Gemini models into its Agents Platform to enhance reasoning and multi-step planning for voice assistants. Google’s Veo model is being incorporated into the Creative Platform to allow teams to produce multimedia content, including video and audio, more efficiently.

The collaboration between ElevenLabs and Google Cloud combines AI tools with NVIDIA infrastructure, seeking to enable faster model training, more scalable deployment, and expanded availability of AI voice services and multimedia solutions for enterprise users.
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