In the news
How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra
NVIDIA Developer · Published · 3 min read
In 30 seconds
- What happened
- NVIDIA NIM 2.0.12 achieves 2.5x higher throughput on Nemotron 3 Ultra using optimized serving stack on 4xB200 GPUs.
- Why it matters
- Matters for engineers deploying large language models who need to serve more concurrent users while maintaining response latency targets.
- Watch out
- Results are specific to this hardware and workload configuration. Your application requires benchmarking with representative traffic using AIPerf to validate fit.
- agent
- agentic
- language model
- prompt
- serving
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