NVIDIA’s Digital Marketing team built an internal translation platform using NVIDIA Nemotron speech and the NeMo framework, trained on more than seven years of NVIDIA marketing data. The platform achieved a ∼70% reduction in translation turnaround time per request and ∼25% reduction in annual cost savings by eliminating legacy integration plug-ins and modernizing vendor usage. As of spring 2026, the platform processed 3,000+ translation requests, 20,000 unique files, and 11 million words. The previous workflow relied on a vendor ecosystem with integration plug-ins, requiring custom development per platform and incurring thousands of dollars in plug-in costs annually. For video content, the pipeline adds Parakeet for transcription, running on NVIDIA Cloud Functions (NVCF). The first major integration was with Adobe Experience Manager (AEM), NVIDIA’s web content management system. Faylene Bell, Senior Director of Web Operations, Digital Marketing at NVIDIA, said, “Translation vendors were all moving to AI—it was only a matter of time. Our thinking was straightforward: If that’s where the puck is going, we should be using our own technology to get there first.” Oluwatobi Olabiyi, Director of Engineering at NVIDIA, noted the deployment provided a real-world proving ground for Nemotron speech and NeMo framework capabilities.