Introducing NVIDIA Nemotron 3.5 ASR Streaming
Aug 4, 2026
Summary
This post introduces the integration of NVIDIA Nemotron 3.5 ASR (English and multilingual variants) into the Baseten Model Library, enabling low-latency, production-ready speech recognition. It details the cache-aware FastConformer-RNNT architecture, performance benchmarks on a single H100 (up to 100 concurrent real-time streams over WebSocket, higher via gRPC), and comparative accuracy metrics (WER) on English and multilingual datasets. The post highlights the benefits of NVIDIA NIM for cache-aware inference and mentions the possibility of fine-tuning using Baseten Training.
More from the Baseten AI Model Deployment and Serving Platform trail
- LangChain trains custom models for LangSmith Engine with Baseten Loops
- DeepSeek-V4.1-Flash: more efficient prefill for coding agents
- Blaxel is joining Baseten to build the future of agentic infrastructure
- How Baseten makes pyannote’s diarization models 9.6x faster
- Optimizing delta weight syncs for managed rollouts