CUDA

Jensen Huang announced at GTC Taipei 2026 that the Agentic AI era has arrived, shifting AI from content generation to autonomous task execution. NVIDIA launched infrastructure products like Vera Rubin and Vera CPU, driving a computing paradigm shift where AI becomes a direct generator of profit and GDP.

NVIDIA today launches Nemotron 3 Ultra, a 550B-parameter open model built on the same architecture as Nemotron 3 Super, optimized for long-running AI agents. It employs LatentMoE to quadruple the number of experts at the same inference cost, introduces multi-token prediction to boost single-user inference speed, and is released under the Linux Foundation’s Open MDW license to enable enterprise deployment.

This talk proposes that AI system engineering should be handled by coding agents through three progressive steps addressing hardware optimization, model training, and automated research, emphasizing standardized repositories and Hugging Face Hub's role.

DeepSeek V4 Flash 模型通过不对称优化和硬件特性绑定，在 128GB 内存的 M3 Max MacBook Pro 上实现了 1M 上下文的稳定运行。

Nsight Copilot runs offline on DGX Spark using 128GB VRAM to deploy GPT OSS 12B NIM + CUDA RAG pipeline, delivering privacy-preserving, cloud-cost-free AI coding assistance for CUDA developers.

The article analyzes how CUDA proves that NVIDIA is a software company, emphasizing its software strategy in the GPU computing ecosystem.

China's independence in floating-point compute may lead its open-source contributions to shift toward tech stacks unusable by the U.S., posing risks to American AI research and infrastructure.

Human decisions are more driven by hormones than rational analysis, prompting reflection on the motivations behind technological choices.