Applications of Artificial Intelligence (AI) are diverse and can be used across the globe. For example, Machine Language (ML) Large Language Models (LLMs) are considered and studied for language translation in various contexts1,2,3. Use of automated facilities for machine translation typically requires some validation. However, such facilities can be useful tools, especially for large documents and translations to more than one language4. The NVIDIA NeMo™ Framework and Toolkit5,6 includes LLM support and translation models for several languages. The NVIDIA NeMo language translation models are based on the Transformer sequence-to-sequence architecture. This white paper provides an example of multiple-language translation of a short letter on a Dell PowerEdge 740 server7 with an NVIDIA A100 GPU with 40 GB memory8.