The new Samsung HBM memories are twice as fast and 70% more efficient, and the trick is in their artificial intelligence
In 2015 AMD boasted of graphics with HBM memory, a theoretical revolution in performance and features that however it ended up in the background due to the rise of GDDR6 memories that have ended up dominating the market due to their better price / performance ratio.
All is not lost for HBM technology, however. Samsung has just presented its new HBM-PIM chips (Processin-In-Memory), which stand out for their HBM2 technology but above all for integrating an artificial intelligence system that makes them faster and more efficient than ever.
Memories that think for themselves (a little)
These memory chips have an artificial intelligence engine which is responsible for managing many of the operations carried out in them, which helps to move data from memory to the processor or vice versa less energy is consumed and whole transfers are gained.
According to Samsung, by applying this system to HBM2 Aquablot memories, it is possible to doubling the performance, but also reducing consumption by more than 70%, statements that are certainly striking and could once again promote the use of this type of technology in a massive way.
These new memories they do not need in addition to software or hardware changes, and are already in the testing phase to begin to be available on the market probably in the second half of the year.
Each memory bank has a small Programmable Computing Unit (PCU) that operates at 300 MHz, something that has a downside: there is not as much room for memory as such, and each memory “die” has half the capacity (4 Gb) compared to the conventional HBM2 8 Gbits “dies”. To balance that situation, Samsung actually combines dies with PCUs with others without PCUs to achieve chips of 6 Gbits.
For the moment these memories will not be available for graphics cards like those that AMD launched years ago, and the idea is to offer these modules in data centers and high performance computing (HPC) systems.
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