Running natively on NVIDIA BlueField-4 processors as part of the STX design, AIStor accelerates embedding, indexing, and retrieval at wire speed while preserving S3 API compatibility, reducing latency ...

Real-time data is rapidly emerging as the missing link between AI ambition and business value, according to Confluent ...

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 ...

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 ...

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 ...

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 ...