The article compares TCP and UDP for data transmission, weighing reliability and sequential delivery of packets or fast speed and packet delivery in a stream.
All-flash object storage accelerates AI pipelines and data lakes, delivering performance, scalability, and cost efficiency for massive unstructured data workloads.
Hammerspace simplifies distributed computing with Hyperscale NAS and Global Data Environment enhancements for performance, S3 support, and data orchestration.
Smaller language models challenge larger ones with efficient alternatives, reshaping AI through techniques like knowledge distillation and transfer learning.
Efficiently processing and ingesting data is a requirement for any organization. Both batch and stream processing play important roles in artificial intelligence.
Dive into cell-based architecture and explore foundational principles, real-world uses, benefits, challenges, and strategies for effective implementation.
Find the balance between convenience, operational efficiency, and the rising threats of Advanced Persistent Threats (APTs) in the world of ephemeral containers.
As a conclusion to the series where we have learned to create the building blocks for DSL-based validations, let's put it all together for a complete solution.
This article explores the CAP theorem. Understanding CAP is crucial for designing distributed systems and we will delve into the meaning of each property.