Introduced at the vendor's GTC conference in San Jose, the releases focus primarily on Nvidia’s Physical AI Data Factory, an open reference architecture designed to transform real-world data into ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms-driven largely by the explosive rise of GenAI and large language ...

AIStor provides a unified data foundation supporting the NVIDIA STX reference architecture, accelerating training, enterprise RAG, and real-time agentic inference throughout the AI lifecycle ...

1. The "Data Trash" Problem: AI models are only as good as the information they ingest. For most enterprises today, data is ...

Time flies in the world of data analytics and artificial intelligence (AI). Seemingly every day, new technologies rise, new use cases emerge, and new frontiers unfurl themselves before a world that ...

Data center architectures are undergoing a significant change, fueled by more data and much greater usage from remote locations. Part of this shift involves the need to move some processing closer to ...

In the first quarter of 2025, nearly 60% of DBTA subscribers told us they were actively researching GenAI with LLMs, including RAG and knowledge graphs. On top of this, when asked which technologies ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is the fix. Let’s be honest: our data systems are struggling to keep up with AI ...

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to ...