Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

SVG with EasyCache on HunyuanVideo can achieve more than 3x speedup. Video generation models have demonstrated remarkable performance, yet their broader adoption remains constrained by slow inference ...

The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...

Abstract: The rapid advancement in semiconductor technology has led to a significant gap between the processing capabilities of CPUs and the access speeds of memory, presenting a formidable challenge ...

Databricks is having one of those years that most enterprise software companies would quietly envy. The data and AI platform says it has reached a $5.4bn annual revenue run rate, growing 65% year over ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Databricks is staying private a ...

On Monday, Databricks announced it reached a $5.4 billion revenue run rate, growing 65% year-over-year, of which more than $1.4 billion was from its AI products. Co-founder and CEO Ali Ghodsi wanted ...

Databricks Inc. today announced that it has raised more than $7 billion in equity and debt financing to accelerate its growth efforts. The company first disclosed the investment late last year when it ...

Company plans to use funds to accelerate AI database, Genie assistant JPMorgan Chase leads $2 billion debt financing Databricks' AI products cross $1.4 billion in annualized revenue Feb 9 (Reuters) - ...

Databricks said it raised $5 billion in funding and $2 billion in new debt capacity at a $134 billion valuation. The company also said its annualized revenue exceeded $5.4 billion for the January ...