DailyVOL 2026.09.1448 items

NVIDIA defines LLM inference benchmark, AI education impact intensifies

Singapore·Monday, 14 September 2026·DAILY · 08:00 SGT

2 Sep 2026. NVIDIA has released NIM LLMs Benchmarking 2.0.0, a new framework for defining and measuring LLM inference performance. The new version focuses on the prefill and decode stages of model execution. Key metrics include TTFT (Time to First Token) and TPT (Throughput Per Token). In education, MIT's AI Use Committee released a final report finding that AI is undermining traditional assessment methods like problem sets and homework, as it can generate plausible answers for any written assignment. Meanwhile, in industry, Zhipu AI announced completing approximately $5 billion in financing to develop the next generation of GLM foundation models. The funding will be used for research into a fully self-training system, large-scale training, production inference, and adapting to domestic chips. Also, Microsoft CEO Satya Nadella stated that AI development should proceed under core principles and that the company welcomes independent auditing. He announced that Microsoft's AI behavior guidelines will be published tomorrow for public comment.

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