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

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

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

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® ...