The Lid is Off, AMD's Next-Generation GPU Architecture - VEGA

By Jeff Harris, Posted: 01/06/17 08:21PM EST

AMD finally unveiled Vega at the Consumer Electronics Show (CES) 2017. Based from the name of the brightest star in the Lyra constellation, Vega is considered as "arguably the next most important star in the sky after the Sun," in which AMD might have adapted because of the big stride in terms of architecture development.


Since the introduction of Graphics Core Next (GCN) Architecture back in 2011, AMD has since made big waves in terms of performance and image quality, the two most sought-after features for gamers and designers. And with the introduction of New Compute Units (NCUs) on Vega, the process got doubled.

As suggested by, "There are 128 cores per NCU (double what GCN offered) and the cores themselves are capable of 512 8-bit operations per clock, 256 16-bit operations, or 128 32-bit operations." With the latest NCU architecture, it allows GPU process to double, or quadruple the output.

How powerful? Here's what we have reported earlier:

- High Bandwidth Cache

- 2x Bandwidth per Pin

- 4x Power Efficiency

- Primitive Shaders

- High Bandwidth Cache Controller

- 512TB Virtual Address Space

- 8x Capacity / Stack

- Rapid Packed Math

- 2x Peak Throughput per Clock

- Vega NCU

- Next Generation Computer Engine

- Next Generation Pixel Engine

- Draw Stream Binning Rasterizer

Watch the video to find out how AMD executives explain this information:

Now what are the specifications of a Vega graphics card? As collated by Khalid Moammer of, here are the confirmed specs of AMD Vega:

Process Node: 14nm

Performance: 12.5 TFLOLPS | 25 (FP16) TFLOPS

Memory: 16GB / 8GB HBM2

Memory Bus: 2048-bit

Bandwidth: 512 GB/s

TDP: <300W

Explaining the two HBM2 RAM variants, Moammer revealed that the Vega sample last December was actually an 8GB RAM with 512GB/s of bandwidth memory. This 8GB RAM is composed of two 4GB HBM2 stacks with 256GB/s of bandwidth, not a single 8GB stack. Same goes with Radeon Instinct MI25 deep-learning accelerator which features 16GB of memory and 512GB/s of bandwidth.

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