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Samsung increase the amount of creation of HBM2 memory by 30 times
Relating to a number of manufacturing resources, regarded by the South Korean Internet resource ET News, Samsung Electronics is getting ready to maximize manufacturing of bunch memory and, in particular, HBM2 memory. This kind of memory is well suited for organizing intensive computations due to the exceptionally broad data coach (4096 bits). Also, HBM and HBM2 memory was opted for by GPU developers. Therefore, AMD is preparing the second generation of gaming video cards making use of pile memory, although NVIDIA continues to be limited to using HBM memory as an element of Tesla items for organizing AI computing.
Stacked HBM Memory Loop Through Connections
In accordance with unofficial information, today there was a particular shortage of HBM2 memory, that also contributes to an inflated price of solutions. It’s estimated that today in volume expenditures, one 4 GB HBM2 stack expenses manufacturers $ 80 per chip. It is extremely expensive. For a 16GB adapter, memory alone will surely cost $ 320, and of course the other large expenses. Only size manufacturing can resolve the problems of high cost of elements. Samsung, as stated above, is ready to spend money on expanding the release of HBM2 memory.
AMD Radeon Vega Frontier Edition layouts card with 16GB HBM2 memory
As verification of Samsung’s plans to crank up manufacturing of HBM2 potato chips, the origin cites information on the company’s acquisition of 20 new thermal compression bonding devices. This gear is considered key for the development of the alleged through-silicon via technology (TSVs). The usage of TSVs connections allows you to definitely produce a compact bunch of several crystals without taking on extra room round the bunch for unnecessary amount connections with all the thinnest wires. Additionally, the ordered equipment makes it possible to create multichip assemblies of traditional DRAM memory.
NVIDIA Tesla accelerator with HBM / HBM2 memory
Samsung presently features five memory pass-through assemblies. The purchase of the latest gear, as well as the modernization of current machines (enhancing the range working minds in a device from one to eight), claims to boost 30 times the amount of creation of products that are an issue. But this can not occur until the following year. But in the brand new year, Samsung should be able to launch 1 million HBM2 chips and multi-chip DRAM each month. The main consumers for Samsung HBM2 memory are Intel and NVIDIA. They both use or plan to use HBM2 memory to build compute accelerators and AI solutions.