在大模型（LLM）研发进入深水区的 2026 年，行业共识正经历从“模型中心（Model-Centric）”向“数据中心（Data-Centric）”的深刻演进。随着 Scaling Law 进入平台期，开发者发现：单纯堆砌 Token 数量已边际效应递减，数据的语义密度（Semantic Density）与工程精度成为了突破模型性能上限的关键。

Nvidia used GTC 2026 to unveil new physical AI models, simulation tools, and robotics partnerships aimed at factories, healthcare, and logistics.

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

Enterprise AI doesn’t prove its value through pilots, it proves it through disciplined financial modeling. Here’s how ESG quantified productivity gains, faster deployment, operational efficiency, and ...

The automotive giant has made Snowflake the core of its organization-wide data mesh and is now exploring agentic technologies.

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Anyscale, founded by the creators of Ray, today announced upcoming new capabilities in Ray and the Anyscale platform designed to help teams build and deploy AI workloads at production scale. As more ...

Ocean Network links idle GPUs with AI workloads through a decentralized compute market and editor-based orchestration tools.

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.

NVIDIA RTX PRO 6000 Blackwell Workstation Edition delivers ultimate acceleration for data science and AI workflows.