When Sam Altman said one year ago that OpenAI's Roman Empire is the actual Roman Empire, he wasn't kidding. In the same way that the Romans gradually amassed an empire of land spanning three continents and one-ninth of the Earth's circumference, the CEO and his cohort are now dotting the planet with their own latifundia-not agricultural estates, but AI data centers.
Over a quarter of data and analytics professionals worldwide estimate that poor-quality data costs companies over $5 million annually, with 7% putting the figure at $25 million or more.
Apache SeaTunnel's high-performance framework enables rapid collection, transformation, and loading of massive datasets, essential for efficient data flow in a big data ecosystem.
"For decades, data analytics have relied on standard processing units, and more recently, companies like Nvidia have invested in pushing GPUs for analytics workloads... Our APU is purpose-built for data processing and a single APU can replace racks of servers, delivering dramatically better performance."