Discover best practices that allow data pipelines to scale and support both structured and unstructured data.

Accelerating Scalable Computing Sharing data efficiently between CPU cores, accelerators, and other components.

As artificial intelligence (AI) and high-performance computing (HPC) workloads push the boundaries of computational power, data centers must evolve to keep up. NVIDIA and Infineon are leading this ...

Becoming truly data-driven remains a key goal—and pressure—for organizations seeking to transform its infrastructures. Cultivating a modern, scalable data architecture, capable of delivering ...

Mosaic is an architecture for greater scalability, extensibility, and interoperability of interactive data views. Mosaic decouples data processing from specification logic: clients publish their data ...

Srikanth's work has been instrumental in optimizing data pipelines, leveraging advanced cloud technologies, and ensuring that AI systems operate seamlessly and at scale within cloud infrastructures.

By extending Klutch with new advanced features, anynines strengthens its core data service offerings, ensuring secure, scalable, and efficient database operations in dynamic cloud-native landscapes.

To Make AI Scalable for the Data Center, Nvidia Unveils 'Rubin' GPU Architecture The chip giant is preparing new "Rubin" and "Feynman" architectures to help companies address generative AI's ...

In a recent Engineering article, researchers Jinghai Li and Li Guo discuss the future of data science and its significance for AI. They point out the challenges in scientific data systems ...

AI fabric architecture is modular, scalable, and future-proof and the key to organizational excellence in the modern business landscape ...