In context: The first iteration of high-bandwidth memory (HBM) was somewhat limited, only allowing speeds of up to 128 GB/s per stack. However, there was one major caveat: graphics cards that used ...
HBM has become one of the most successful and widely adopted examples of chiplet-based integration in AI systems.
XDA Developers on MSN
Stop obsessing over your GPU's core clock — memory clock matters more for local LLM inference
Your self-hosted LLMs care more about your memory performance ...
Memory limitations have blindsided many cloud users. It’s crucial for enterprises to expand their focus beyond GPUs and for providers to fix memory problems to keep AI performance on track. Most of us ...
There's an exciting new graphics card memory technology on the horizon that could see huge gains in one of the most important aspects of GPUs: memory bandwidth. The new GPU SCM with DRAM tech can ...
So I was reading some articles on the new Trinity from AMD and for giggles ran some Sandra on my box (1090T, DDR3-1600, 990FX chipset, 4x4GB DDR3) and was severely disappointed. According to Sandra, I ...
Nvidia recently decided to swap out the GDDR6X memory on the RTX 4070 GPU for slower GDDR6 modules instead. Apparently, it had a hard time sourcing GDDR6X memory but had a lot of GDDR6 lying around.
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