Many formulas or equations are floating around in papers, blogs, etc., about how to calculate training or inference latency and memory for Large Language Models (LLMs) or Transformers. Rather than ...

For most other scenarios, though, especially those that will have your GPU busy as a bee, then grabbing a set of slow DDR5 to ...

I’ve always thought to myself that when you’re buying something, a price increase is easier to absorb the higher the price bracket that the item sits in. Like a R500 price bump on a R5000 gadget is ...

That's equivalent to paying $100 for the mobo, which typically retails for $210 at Newegg or Amazon, or just $70 for the RAM. Basically what the kit used to cost before the 32 GB horsemen of the ...

Abstract: Graph Neural Networks (GNNs) require high-capacity, low-latency memory systems to process large graphs. A hierarchical hybrid memory architecture combining high-capacity Non-Volatile Memory ...

Abstract: In-memory computing has been a prominent solution to Von Neumann bottleneck that degrades the performance of a computing system. Approximate computing is ...