The growing popularity of generative AI, which uses natural language to help users make sense of unstructured data, is forcing sweeping changes in how compute resources are designed and deployed. In a ...

[CONTRIBUTED THOUGHT PIECE] Generative AI is unlocking incredible business opportunities for efficiency, but we still face a formidable challenge undermining widespread adoption: the exorbitant cost ...

D-Matrix Corp., a startup that provides high-efficiency silicon and generative artificial intelligence compute platforms for data centers, today announced the next generation of its Jayhawk platform ...

Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

Compute architectures are changing radically from bringing in memory using CXL on the PCI Express interface to integrating machine-learning and artificial-intelligence (ML/AI) accelerators with ...

Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten inference economic viability ...

Everspin Awarded $10.5M Contract to Provide MRAM IP and Foundry Services for Purdue University’s ME Commons In-Memory Compute Project Everspin’s AgILYST MRAM IP and manufacturing to support Purdue ...