LLC, positioned between external memory and internal subsystems, stores frequently accessed data close to compute resources.

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

This approach can be viewed as a memory plug-in for large models, providing a fresh perspective and direction for solving the ...

Nearly always the top CPU on any list you'll see.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Intel faces mounting execution risks as Nvidia's GTC 2026 announcements deepen competitive threats in CPU-based AI compute. Intel's limited role in Nvidia's Vera CPU roadmap and delays in their custom ...

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

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

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 ...

Its Core Ultra 200V "Lunar Lake" processors offered a great blend of CPU compute, GPU horsepower, and excellent power efficiency, and the latest Core Ultra 300 "Panther Lake" chips continue that trend ...

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage, claiming 5x token throughput and 4x energy efficiency for agentic AI ...

Marvell Technology, Inc. (NASDAQ: MRVL), a leader in data infrastructure semiconductor solutions, today announced Marvell® ...