As AI workloads extend across nearly every technology sector, systems must move more data, use memory more efficiently, and respond more predictably than traditional design methodologies allow. These ...

Supermicro's NVIDIA Vera Rubin NVL72 and HGX Rubin NVL8 systems are built on the DCBBS liquid-cooling stack, targeting up to ...

March 22, 1993, marked a defining moment in personal computing. Intel officially launched the Pentium processor, a ...

This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large ...

Intel faces mounting execution risks as Nvidia's GTC 2026 announcements deepen competitive threats in CPU-based AI compute.

At its Synopsys Converge event currently underway in Santa Clara, the company announced an array of tools and initiatives to ...

The latest Area-51 desktop from Alienware centers around AMD’s Ryzen 7 9800X3D, an 8-core processor with 104MB of total cache ...

Seoul [South Korea], March 16 (ANI): Nvidia may unveil a new artificial intelligence inference chip architecture built around on-chip static random access memory, or SRAM, at the Nvidia GTC 2026 ...

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 ...

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage ...