AMD Radeon Pro Vega: 8-16GB HBM2, up to 22 TFLOPs

AMD's new Radeon Pro Vega comes with Vega 10 GPU, 8-16GB HBM2.

1 minute & 8 seconds read time

AMD has officially unveiled the Radeon Pro Vega, a new Vega-based graphics card that is destined for Apple's new iMac Pro all-in-one desktop PCs. The new Radeon Pro Vega is the third entry in the Vega family, following the professional Radeon Vega Frontier Edition and consumer Radeon RX Vega graphics cards.

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The new Radeon Pro Vega comes in two flavors, with 8GB and 16GB variants using HBM2 providing 400GB/sec of memory bandwidth. AMD is using the Vega 10 GPU, with 256 TMUs, and 64 next-gen Vega NCUs, each with two compute engines. Each of the compute engines have two separate compute clusters each with 512 stream processors and 32 TMUs, so in total Radeon Pro Vega has 4096 stream processors and 256 TMUs.

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There are 64 ROPs and 16 distinct render back ends that are slapped into the 2048-bit memory bus with HBM2, in both 8GB and 16GB versions.

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AMD's next-gen Radeon Pro Vega graphics card has a new rasterizer that converts polygons into pixels much faster as it breaks them into batches, which are shrunken down small enough to fit into the on-chip cache. This Vega exclusive trick allows the Radeon Pro Vega graphics card to use less VRAM and require less memory bandwidth, while increasing the throughput compared to previous-gen cards and methods.

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The optimized pixel engine on Vega also sees the shade-once technology looking at pixels earlier in the graphics pipeline so it can see which ones are being rendered behind other on-screen objects, with non-visible pixels discarded, reducing the shader workload on the Vega GPU. Not only that, but Radeon Pro Vega is capable of writing images more efficiently thanks to the new direct connection between the pixel engine and the on-chip cache.

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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