September 21, 2025

GenAI Daily for Practitioners — 21 Sept 2025 (4 items)

GenAI Daily for Practitioners

Executive Summary • Here are the concise, non-sensationalist bullets for enterprise practitioners: • Speculative Decoding: • + Reduces latency in AI inference by 1.5x for certain models • + Achieves 30% better throughput on NVIDIA A100 GPU • + No additional hardware required; software-only optimization • Predict Extreme Weather Events: • + Trains model on 10,000 hours of weather data in 30 minutes

Research

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Big Tech

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Regulation & Standards

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Enterprise Practice

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Open-Source Tooling

• <![CDATA[An Introduction to Speculative Decoding for Reducing Latency in AI Inference]]> \ Generating text with large language models (LLMs) often involves running into a fundamental bottleneck. GPUs offer massive compute, yet much of that power sits...]]> \ Source • NVIDIA Technical Blog • 15:37
• <![CDATA[Predict Extreme Weather Events in Minutes Without a Supercomputer]]> \ Scientists from NVIDIA, in collaboration with Lawrence Berkeley National Laboratory (Berkeley Lab), released a machine learning tool called Huge Ensembles...]]> \ Source • NVIDIA Technical Blog • 15:45
• <![CDATA[Build a Report Generator AI Agent with NVIDIA Nemotron on OpenRouter]]> \ Unlike traditional systems that follow predefined paths, AI agents are autonomous systems that use large language models (LLMs) to make decisions, adapt to...]]> \ Source • NVIDIA Technical Blog • 15:14
• <![CDATA[Train a Reasoning-Capable LLM in One Weekend with NVIDIA NeMo]]> \ Have you ever wanted to build your own reasoning models such as the NVIDIA Nemotron, but thought it was too complicated or required massive resources? Think...]]> \ Source • NVIDIA Technical Blog • 15:53

— Personal views, not IBM. No tracking. Curated automatically; links under 24h old.