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BREAKINGOpenAI closes $40B round at $340B valuation — largest private tech raise ever·MODELSAnthropic ships Claude Opus 4 with extended thinking and agentic capabilities·FUNDINGxAI raises $6B Series C led by Andreessen Horowitz for Grok infrastructure·REGULATIONEU AI Act enters full enforcement — high-risk systems must comply now·AGENTSGoogle DeepMind open-sources Gemini Agent Framework for autonomous task completion·RESEARCHStanford HAI: Enterprise AI adoption hits 78% globally, GenAI in production at 45%·WARNINGUS Senate passes AI Transparency Act — content labeling required at scale·PRODUCTMeta releases Llama 4 Maverick open-weight model rivaling proprietary alternatives·MODELSDeepSeek V3 scores within 2% of GPT-4o on MMLU at 1/10th the inference cost·FUNDINGMistral AI raises €600M Series B at €6B valuation for European AI sovereignty·BREAKINGOpenAI closes $40B round at $340B valuation — largest private tech raise ever·MODELSAnthropic ships Claude Opus 4 with extended thinking and agentic capabilities·FUNDINGxAI raises $6B Series C led by Andreessen Horowitz for Grok infrastructure·REGULATIONEU AI Act enters full enforcement — high-risk systems must comply now·AGENTSGoogle DeepMind open-sources Gemini Agent Framework for autonomous task completion·RESEARCHStanford HAI: Enterprise AI adoption hits 78% globally, GenAI in production at 45%·WARNINGUS Senate passes AI Transparency Act — content labeling required at scale·PRODUCTMeta releases Llama 4 Maverick open-weight model rivaling proprietary alternatives·MODELSDeepSeek V3 scores within 2% of GPT-4o on MMLU at 1/10th the inference cost·FUNDINGMistral AI raises €600M Series B at €6B valuation for European AI sovereignty·
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NVIDIA Releases Nemotron-Labs-3-Puzzle-75B-A9B: A Compressed Hybrid MoE LLM Delivering 2.03x Server Throughput at Matched User Throughput

Jul 9, 2026Hugging Face
Event Summary

NVIDIA has released Nemotron-Labs-3-Puzzle-75B-A9B, a compressed variant of Nemotron-3-Super. Iterative Puzzle alternates hardware-aware structural compression with short knowledge distillation recovery phases. The model drops from 120.7B total / 12.8B active parameters to 75.3B / 9.3B. On a single

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