NVIDIA has been in a race to source DRAM for its AI accelerators and memory products, but the real edge, of course, is Jensen's unique relationships with Korean memory giants. NVIDIA…
…Read all comments on Samsung’s Memory Business Alone Is Now More Profitable Than Amazon, Meta, And Microsoft, Quietly Becoming One of the Biggest Winners of the AI Race
…The leaked PCB reportedly features 20 LPDDR5X memory sites - 12 on the front and 8 on the back - supporting a total of 160GB of LPDDR5X memory. Intel chose LPDDR5X over HBM as…
…HBM Stacks Go Down, But Still A Big Upgrade Over Standard Rubin For Rubin Ultra, NVIDIA had originally pushed for up to 1 TB of HBM4E memory using 16-Hi stacks. But…
…touted as 'mobile HBM' SK hynix to spend $74.6 billion on memory business, another $58 billion for AI, semiconductors SK Group leading rivals in developing glass substrates for AI chip packaging…
…High‑bandwidth memory (HBM) marks a major inflection along this path. By stacking DRAM dies — scaling to 16 layers and beyond — and placing memory much closer to the processor, HBM enables rapid…
…In addition to this, SK Group chairman Chey Tae-won reportedly said that even though SK Hynix is one of the dominant players in the HBM (high-bandwidth memory) market for data…
…He added that as inference and token demand rise, so will the need for both higher-capacity and higher-performance memory. AI GPUs rely heavily on HBM, while AI CPUs use DRAM…
…HBM, or high-bandwidth memory, is a faster, more expensive type of memory used in AI chips and high-performance data centers. That last type of memory is where AI changes the…
As the race for the AI buildout continues to intensify, a shortage in the packaging industry has led memory manufacturer SK hynix to team up with Intel for chip packaging technology. After…
