NVIDIA Riva ak NeMo

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Lan mooy wuutale bu njëkk bi am ci digganté NeMo ak Riva?
   • NeMo source bu tëju la Riva source ouverte la
   • NeMo mooy tàggat ak defar ay model, fekk Riva mooy jëfandikoo ak serwiis
   • NeMo du def ludul bind-ci-kaddu, Riva du def ludul xàmmee
   • Ñaari tur lañu ngir benn produit
2. Which NVIDIA components does Riva documentation identify for optimized model execution and inference serving?
   • TensorRT for optimizations and Triton Inference Server for serving
   • OpenGL for language modeling and a SQL database for waveform decoding
   • Only CUDA kernels with no inference server
   • A browser rendering engine and an image-editing service
3. Ci gasoduc Riva TTS, lan mooy wareefu vocoder bu melni HiFi-GAN?
   • Dafay soppi kàddu audio ci mbind
   • Dafay xam kan mooy wax
   • Dafay tekki mbind diggante làkk yi
   • Dafay soppi màndarga akustik (lu melni mel-spectrogram) ci jëmmu onde audio
4. Lan mooy 'streaming' ASR ci Riva?
   • Transcription bi ginaaw buñu yeggee enregistrement bi yépp
   • Wideo streaming bu amul benn audio
   • Transcription yu xaaj yi deñu leen di delloo ginaaw bi audio bi yegsee, ak latency bu tuuti lool
   • Yebbi model yi ci anam wu gëna gaaw ci reso bi
5. Lan mooy misaalu personaalisasioŋ bi NeMo mëna def ngir modeli kàddu yi?
   • Binndaat losisel GPU bi
   • Defar ab xeetu ASR ci vocabulaire bu jëm ci domen bi lu ci melni terme pajum
   • Encryptation audio ci layer reso bi
   • Komprime fichier wideo
6. Which service interface does Riva expose for speech requests in the documented deployment?
   • A local spreadsheet macro interface only
   • A graphics-driver rendering API only
   • A text tokenizer with no service endpoint
   • gRPC-based microservices
7. Before exporting a fine-tuned NeMo model to Riva, what compatibility check is necessary?
   • Assume every NeMo checkpoint is directly interchangeable with a Riva model
   • Check only the checkpoint's file name
   • Confirm that the architecture, export path, and software versions are supported
   • Assume an ASR model can be deployed as a vocoder without conversion
8. How should a team determine whether Riva streaming ASR meets its latency target under many simultaneous calls?
   • Measure the chosen model and hardware with representative buffering and concurrent streams
   • Treat one published single-workload number as a guarantee for every deployment
   • Measure only the time needed to download the checkpoint
   • Ignore audio-chunk settings because they cannot affect latency