The same booming AI demand that has caused the chairman of South Korea's SK Group to ​predict shortages of high-bandwidth memory chips could also cause tight ‌supplies for storage drives, an executive ...

The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...

How do we modernize this distributed estate from a virtualized footprint to an intelligent, AI‑first platform – without ...

With Time Machine, the underlying Windows servers remained on the correct real-world time to maintain security and ...

The data engineer started as a casual reader of the Jeffrey Epstein files. Then he became obsessed, and built the most ...

MinIO, the data foundation for enterprise analytics and AI, today announced that MinIO AIStor will support object data stores for the NVIDIA STX reference architecture. Designed with the NVIDIA STX ...

Picture this: You are a dev in a payment services company. The thing with payment transactions is that you are supposed to process each transaction (e.g. send money from John's account to Jane) ...

Qdrant's $50M Series B and version 1.17 release make the case that agentic AI didn't simplify vector search — it scaled the ...

Jeskell Systems announces immediate availability of Supermicro AI inference servers while industry supply shortages push typical deployments out 3–6 months. This Supermicro platform represents a rare ...

MariaDB secured a deal to acquire GridGain Systems, the team behind the Apache Ignite open source, distributed database platform. The deal will see MariaDB’s relational database merge with GridGain’s ...

Relational database developer MariaDB is acquiring in-memory computing technology developer Gridgain to improve database performance for AI and agentic applications.

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