Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.

Oracle (ORCL) downgraded: high debt, negative cash flow, and reliance on OpenAI contracts raise investment risk.

When this data is organized chronologically—tracking changes in a specific metric over time—it becomes time-series data.

Discover the best cloud ETL tools for data engineers in 2025. Compare features, pricing, and use cases as we explore the most effective data integration solutions for modern organizations with ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Oracle (ORCL) is well-positioned to benefit from AI adoption by leveraging its integrated infrastructure, database, and ...

Alphabet, Amazon, Meta and Microsoft—and, more recently, Oracle have poured money into data centres crammed full of pricey AI ...

Will the future of enterprise AI hinge on data streaming engineers and organizations closing the gap between knowing and ...

Snowflake wants to become the control plane for enterprise intelligence. Enterprises have often dreamed about AI systems that ...

Attention! Another new term has entered the TikTok lexicon, and you’re about to see it everywhere. If you’ve spent any time on the app within the past week, you might have noticed people talking about ...

WASHINGTON, Nov 18 (Reuters) - A divided U.S. Federal Reserve begins receiving updated economic reports from the now-reopened federal government this week as policymakers hope for clarity in their ...