As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.
The emphasis on memory volume is a strategic decision aimed at maximizing profitability while simplifying the supply chain. For instance, by focusing on fewer, more lucrative models, NVIDIA can ...
The GeForce RTX 5070 Ti GPU is Nvidia’s gateway for 4K gaming on PC. The GPU has the 16GB of VRAM necessary to support titles ...
If you want to know the difference between shared GPU memory and dedicated GPU memory, read this post. GPUs have become an integral part of modern-day computers. While initially designed to accelerate ...
Morning Overview on MSN
Nvidia’s Rubin platform treats memory like the main event
Nvidia’s Rubin platform arrives at a moment when artificial intelligence is running headlong into a memory wall. As models ...
AMD has addressed the role of memory pricing in graphics card costs, with executive David McAfee describing DRAM supply and ...
Support for unified memory across CPUs and GPUs in accelerated computing systems is the final piece of a programming puzzle that we have been assembling for about ten years now. Unified memory has a ...
Just like your PC’s system memory, graphics cards and laptop GPUs have their own memory, called VRAM (video RAM). Graphics memory is mostly important for gaming, but there are productivity and ...
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