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.

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

AI infrastructure can't evolve as fast as model innovation. Memory architecture is one of the few levers capable of ...

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

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

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

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

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 ...

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

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

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 has used its latest GTC keynote to lay out a vision for the future of AI infrastructure, unveiling the new Vera Rubin ...