CAMB.AI and Broadcom have announced a collaboration that embeds CAMB.AI’s generative voice model, MARS, directly into Broadcom’s neural processing unit (NPU) chipsets.
The partnership enables text-to-speech and localisation features to run natively on consumer devices without depending on the cloud.
The integration enables real-time translation, dubbing, captioning, and audio descriptions to function locally, eliminating latency and privacy concerns while reducing costs for users and content providers.
Akshat Prakash, co-founder and CTO of CAMB.AI, said, “By partnering with Broadcom, we can deliver this capability to consumers globally in a way that is faster, more private, and more integrated into everyday devices than ever before.”
Running on Broadcom’s SoC-integrated NPU, CAMB.AI’s text-to-speech model converts written text into natural speech in multiple languages. This approach supports accessibility for visually impaired users, improves communication in e-learning and customer service, and cuts reliance on external servers.
Rich Nelson, SVP and GM of Broadcom’s broadband video group, said, “We are enabling next-generation user experiences that are both highly intelligent and privacy-first.”
The next phase of the collaboration will explore moving CAMB.AI’s real-time translation model to Broadcom’s on-device NPU, enabling translation across more than 150 languages. Broadcom’s chips already power over 500 million devices globally, including set-top boxes and broadband gateways, meaning the new capability could bring multilingual and accessible content to homes worldwide.
CAMB.AI, known for its multilingual AI localisation work with organisations such as IMAX, Comcast NBCUniversal, and Major League Soccer, has built MARS and BOLI models that are already available on AWS Bedrock and Google Vertex AI.
The partnership with Broadcom marks a move towards embedding localisation and accessibility at the hardware level, bringing AI-powered communication closer to users than ever before.
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