A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers at Arizona State University. Abstract “Neural networks have become a ...
AMD has published new technical details outlining how its AMD Instinct MI355X accelerator addresses the growing inference ...
CES used to be all about consumer electronics, TVs, smartphones, tablets, PCs, and – over the last few years – automobiles.
11don MSNOpinion
Elon Musk’s Grok AI continues to pornify women
This week, I’m focusing on the widespread use of the Grok chatbot to undress women on X. I also look at the problematic lack ...
More flexible systems naturally expose a wider range of configurations and performance profiles. For AI-native developers, ...
AIC Expands NVIDIA BlueField-Accelerated Storage Portfolio With New F2032-G6 JBOF Storage System to Accelerate AI Inference. Tweet. CITY OF INDUSTRY, Calif., Jan. 6, 2026 /PRNewsw ...
Nvidia (NASDAQ:NVDA) unveiled its next‑generation Rubin AI platform at CES, introducing six codesigned chips and new ...
Nvidia (NASDAQ:NVDA) unveiled its next‑generation Rubin AI platform at CES, introducing six codesigned chips and new ...
As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.
A Cache-Only Memory Architecture design (COMA) may be a sort of Cache-Coherent Non-Uniform Memory Access (CC- NUMA) design. not like in a very typical CC-NUMA design, in a COMA, each shared-memory ...
Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.
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