AMD Radeon RX Vega: HBM2 with 409GB/sec bandwidth teased

The current 1.6Gbps HBM2 from SK Hynix would provide 409.6GB/sec to AMD Radeon RX Vega.

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SK Hynix has released its new Q2 2017 product databook, and inside we get some more details on their current and next-gen graphics memory products, with the company listing 12Gbps and 14Gbps modules of GDDR6, as well as 1.6Gbps HBM2 memory.

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AMD's upcoming Radeon RX Vega is powered by HBM2 memory provided by SK Hynix, while NVIDIA is tapping Samsung made HBM2 memory. Radeon RX Vega should rock SK Hynix's current 1.6Gbps HBM2 that would provide up to 409.6GB/sec of memory, unless AMD were to use more HBM2 stacks, then the bandwidth and HBM2 would double. The memory bandwidth would reach a pretty damn high peak of 817GB/sec, easily beating out any graphics card in its path - and getting close to NVIDIA's new HBM2-based Tesla V100 and its memory bandwidth numbers of 900GB/sec.

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Remember that AMD also has its HBCC (High Bandwidth Cache Controller) working alongside the Vega NCU, which will be able to greatly improve minimum FPS performance, and has up to 512TB of virtual address space - insanity.

AAMD will most likely release their new Radeon RX Vega graphics cards in 4GB and 8GB capacities, something that has been recently teased as the Radeon RX Vega Nova, RX Vega Eclipse, and RX Vega Core. Our world exclusive report also states that AMD will have just 16,000 or so Radeon RX Vega graphics cards to launch in the first few months, because of the scarcity of HBM2 right now.

Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering and has recently taken a keen interest in artificial intelligence (AI) hardware.

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