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

“The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill ...

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Enfabrica Corporation, an industry leader in high-performance networking silicon for artificial intelligence (AI) and accelerated computing, today announced the ...

Nvidia’s Rubin platform arrives at a moment when artificial intelligence is running headlong into a memory wall. As models ...

Walk into any modern AI lab, data center, or autonomous vehicle development environment, and you’ll hear engineers talk endlessly about FLOPS, TOPS, sparsity, quantization, and model scaling laws.

This is the first of a three-part series on HBM4 and gives an overview of the HBM standard. Part 2 will provide insights on HBM implementation challenges, and part 3 will introduce the concept of a ...

As SK hynix leads and Samsung lags, Micron positions itself as a strong contender in the high-bandwidth memory market for generative AI. Micron Technology (Nasdaq:MU) has started shipping samples of ...

Agilex 7 FPGA M-Series Optimized to Reduce Memory Bottlenecks in AI and Data-intensive Applications SAN JOSE, Calif.--(BUSINESS WIRE)-- Altera Corporation, a leader in FPGA innovations, today ...

The US government has imposed fresh export controls on the sale of high tech memory chips used in artificial intelligence (AI) applications to China. The rules apply to US-made high bandwidth memory ...

Penguin Solutions, Inc. (Nasdaq: PENG) a provider of high-performance computing and AI infrastructure solutions, today - Read ...