#NVIDIA Nsight
132 related articles
Industry Insights·3 min
Google Cloud Next 2025: A Deep Dive into the Future of AI Infrastructure
At Google Cloud Next 2025, Amin Vahdat, Jeff Dean, and other tech leaders discuss AI infrastructure evolution, network-compute convergence, TPU development, and the next decade of cloud services.
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Deep Dives·3 min
Alibaba's QwQ-32B Open-Sourced: How 32B Parameters Rival DeepSeek R1's 671B
Alibaba's open-source reasoning model QwQ-32B achieves performance rivaling DeepSeek R1 (671B) with only 32B parameters through a two-stage reinforcement learning strategy on verifiable tasks.
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Industry Insights·4 min
OpenAI's $3 Billion Windsurf Acquisition: The Real Reason They Didn't Choose Cursor
Deep analysis of OpenAI's $3B Windsurf acquisition: why not Cursor? How Windsurf's enterprise DNA, process data, and user mindshare fill OpenAI's gaps, while Cursor's $9B valuation reshapes the AI coding landscape.
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Expert Opinions·3 min
Sam Altman in Conversation with Garry Tan: How OpenAI and YC Are Co-Shaping the AI Startup Ecosystem
Sam Altman and YC President Garry Tan discuss the convergence of OpenAI's foundation models and YC's startup ecosystem, revealing key signals about the next phase of AI entrepreneurship.
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Expert Opinions·3 min
Sequoia Capital's Conversation with AI Expert: How the Von Neumann Architecture Shapes the Future of AI
Sequoia Capital's deep conversation with AI expert Konstantine explores how von Neumann's architecture and ideas profoundly shape modern AI development, from computing paradigms to the pursuit of AGI.
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Deep Dives·4 min
Hugging Face Transformers: Deep Dive into the 160K-Star Open Source AI Framework
Deep dive into Hugging Face Transformers: the 160K-Star open-source framework covering Pipeline API, Auto Classes, multi-modal models, and the full HF ecosystem for AI inference and training.
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Tutorials·2 min
Unsloth Tutorial: Fine-Tune LLMs Locally with 5x Speed and Massive VRAM Savings
Learn how Unsloth uses LoRA optimization and Web UI to efficiently fine-tune Gemma 4, Qwen3, DeepSeek and more on consumer GPUs, with 2-5x speed gains and 50-70% VRAM reduction.
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Product Reviews·4 min
Unsloth: The Open-Source Tool That Makes Local LLM Fine-Tuning 5x Faster
Unsloth is an open-source LLM fine-tuning tool with 63K+ GitHub stars. Supporting Gemma 4, Qwen 3, and DeepSeek, it boosts training speed 2-5x and cuts VRAM by 80% via LoRA/QLoRA, with a Web UI for easy local fine-tuning.
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Product Reviews·3 min
The Complete Guide to AnythingLLM: A Privacy-First AI Knowledge Base Tool for Local Deployment
Deep dive into AnythingLLM, an open-source AI tool with 59K+ GitHub Stars. Supports local LLM inference, RAG private knowledge base Q&A, and zero-config setup. Explore core features, use cases, and architecture.
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Product Reviews·5 min
AnythingLLM: A Locally Deployed Open-Source AI Knowledge Base — The Privacy-First RAG Powerhouse
Deep dive into AnythingLLM: a privacy-first, locally deployed open-source AI tool with RAG, multi-model support, and vector databases. 59K+ GitHub Stars, zero-config setup, ideal for enterprise knowledge bases.
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Product Reviews·3 min
Unsloth: The Best Open-Source Tool for Local LLM Fine-Tuning (2025 Guide)
Unsloth is an open-source LLM training tool with 63K GitHub stars. Fine-tune Gemma 4, Qwen3, DeepSeek locally with 50% less VRAM and 2-5x faster training speed via Web UI.
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Product Reviews·3 min
awesome-LLM-resources: A Large Language Model Learning Resource Repository with 8000+ Stars
awesome-LLM-resources is a GitHub repo with 8200+ Stars covering multimodal generation, AI Agents, model training/inference, MCP protocol, and more for LLM learners.
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