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# Even the chip makers are making LLMs

**[Stack Overflow Blog](https://daily.dev/sources/stackov)** · 27 min read · 1 upvotes · 0 comments

## Summary

NVIDIA VP of Generative AI Kari Briski explains why a chip maker builds LLMs: the hardware-software co-design feedback loop requires deeply understanding workloads to optimize them. She covers NVIDIA's Nemotron model family (Nano, Super, Ultra), the benefits of training at reduced floating-point precision (NVFP4) over post-training quantization, hybrid Mamba State Space + Transformer architectures for token efficiency, mixture-of-experts approaches, and disaggregated inference serving via Dynamo. Nemotron is fully open source—releasing weights, training data, gym environments, and recipes—enabling enterprises to fine-tune on their own domains without liability concerns. The roadmap treats models like software libraries with regular release cycles, and community PRs to model architecture are planned for the future.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://stackoverflow.blog/2026/03/10/even-the-chip-makers-are-making-llms/>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#llm](https://daily.dev/tags/llm), [#nvidia](https://daily.dev/tags/nvidia)

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