AMD Vega with 16GB HBM2 and 1600MHz GPU leaked

AMD Vega with 16GB of HBM2 and 1600MHz GPU clock spotted on CompuBench database.

1 minute & 21 seconds read time

AMD is in the headlines all over the place right now, with our tease of the Radeon RX Vega Nova/Eclipse/Core graphics card, and now a new report on Vega with 16GB of HBM2 and a 1600MHz GPU clock.

AMD Vega with 16GB HBM2 and 1600MHz GPU leaked |

VideoCardz does note that they don't know if this part of the Radeon RX Vega family, as it could be a new dual-GPU graphics card in the Radeon Pro or Radeon Pro Duo series. AMD has confirmed it will have two stack HBM2 for Radeon RX Vega, but it could be in 8GB form (2 x 4GB) or a 16GB card (2 x 8GB).

Inside of the new CompuBench result, we have the maximum GPU clock of 1600MHz with 64 compute units (CUs), and what should hopefully be 4096 stream processors.

What I want to see: I'm hoping this is a dual-GPU graphics card on the RX Vega family, offering 8GB of HBM2 per GPU for 16GB HBM2 total. If AMD were to surprise us with near perfect scaling of the GPUs and HBM2, this card could be a monster. It would destroy everything NVIDIA has in single-GPU form, but it would come down to the power efficiency of the Vega GPU architecture. It would need the single card version to max out at 180W, so that AMD could cut Vega CPU cores and get it down to 300W total (150W per GPU/HBM2).

We've also heard that AMD will be launching its new Radeon RX Vega graphics card family with less than 16,000 cards at launch, so if the new cards are actually monsters and meet or beat our expectations, we could be in a for a wild ride in the next few months.


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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