Radeon™ Vega Frontier Edition: Empowering the New Generation of Data Scientists, Visualization Professionals, and Digital Pioneers

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At CES when we unveiled the first details of our new GPU Vega architecture –codenamed “Vega” — I was hoping for a positive reaction, but I didn’t quite expect this. Millions of gamers, game developers, data scientists, and professional content creators around the world are anxiously awaiting products based on Vega. And every week, I get hundreds of emails and tweets from community members asking me when these products will be available on store shelves.

Well, it’s time.

Today we’re announcing the first of several Vega architecture-based products to roll out this summer, and soon we’ll be launching Radeon Instinct, Radeon Pro, and Radeon RX flavors of Vega. But today’s Vega is just a little different. Let me tell you why.

Radeon Vega Frontier Edition Graphics Cards

Radeon™ Vega Frontier Edition

Compute units 64
Single precision compute performance (FP32) ~13 TFLOPS
Half precision compute performance (FP16) ~25 TFLOPS
Pixel Fillrate ~90 Gpixels/sec
Memory capacity 16 GBs of High Bandwidth Cache
Memory bandwidth ~480 GBs/sec

What comes to mind when you hear the word “pioneer?”

At AMD, we think about the people who risk everything in the name of progress. These modern-day pioneers embrace and propel new technologies forward. They work to heal our own planet while fearlessly exploring new ones. They harness science to fuel creativity, and employ creativity to drive science. Pioneers look at boundaries and see only a starting line. Their achievements are measured not in years, or even decades, but in centuries.

We’ve spent years preparing to enable this next generation of data scientists, immersion engineers, and product designers, by designing a formidable new GPU architecture – Vega – from the ground up, and by heavily investing in machine learning, high performance graphics for content creators, and open software solutions to deliver value to a broad pioneer ecosystem. Today our vision for delivering the future of data science and advanced visualization materializes with the release of the Radeon™ Vega Frontier Edition graphics cards which will be shipping in late June.

We’re excited about releasing this graphics card into the wild and seeing what you’ll accomplish with it, especially with the horsepower that’s inside, because for machine learning and professional visualization workloads, Radeon Vega Frontier Edition is very simply the fastest graphics card on the planet.

At our product’s core is Vega’s disruptive High Bandwidth Cache Controller, the cornerstone of the world’s most advanced GPU memory architecture. Combined with HBM2, Radeon Vega Frontier Edition helps expands the capacity of traditional GPU memory to 256TB, allowing users to tackle massive datasets with ease. The result is a graphics card that can easily handle demanding design, rendering, and machine intelligence workloads.

Radeon Vega Frontier Edition Vs. Fiji Architecture

Single precision compute performance (FP32)
Single precision compute performance (FP16)
Memory capacity
Radeon Vega Frontier Edition     “Fiji” architecture

 

But hardware is only half of the story – a significant part of our investment and resource commitment is dedicated to fostering an open software ecosystem. We continue to aggressively improve our ROCm open software platform and machine learning libraries.  We’re also supporting open machine intelligence frameworks like Caffe (released in April). Later this quarter we plan to offer support for Torch, and Tensor Flow is in the works.

___

For Data Scientists, Immersion Engineers, and Product Designers

The advantage of the Radeon Vega Pioneer Edition graphics card is unmatched performance in a remarkable range of use cases.  Here are a few examples:

Machine Learning

The Radeon™ Vega Frontier Edition, combined with our ROCm open software platform, delivers industry-leading performance in deep learning. Developers can now tap into the power of the Vega architecture to do machine learning algorithm development before deploying it to massive servers that will be equipped with Radeon Instinct accelerators. In the initial testing (early clocks and drivers) we did against the fastest competitive card we could get our hands on, we found Radeon Vega Frontier Edition graphics cardsto be more than 30% faster as measured by the DeepBench Benchmark 1 – and also delivers a disruptive performance per dollar equation that enables AMD’s leadership in compute TCO for the foreseeable future.

Advanced Visualization

Advanced technologies like real-time visualization and physically-based rendering give design and manufacturing firms a powerful arsenal of visualization tools that can be used at all stages of product development. The Radeon Vega Frontier Edition graphics card provides the necessary performance required to help drive these increasingly large and complex models through the design phase as well as rendering phase of product development.

SpecViewperf 12.1 (higher is better)

Catia2
PTC Creo3
Solidworks4
Radeon Vega Frontier Edition     NVIDIA Titan Xp

Revolutionizing Game Design and 360 VR Workflows

The Radeon Vega Frontier Edition graphics card simplifies and accelerates game creation by providing a single GPU that is optimized for every stage of a game developer’s workflow — from asset production, to playtesting, to performance optimization. With AMD graphics technology found in many of today’s game consoles and PCs, developers can build and optimize next-gen games for a large install base. And combined with Radeon Loom, AMD’s revolutionary 360-degree video stitching technology, a new breed of filmmakers will be able to harness the compute power of Radeon Vega Frontier Edition to stitch high-resolution video in real time.

The Radeon Vega Frontier Edition graphics card is going to empower the pioneers creating the next generation of gaming experiences, but it does beg one question: Can you game on a Radeon Vega Frontier Edition?  The answer is yes, absolutely.  But because this graphics card is optimized for professional use cases (and priced accordingly), if gaming is your primary reason for buying a GPU, I’d suggest waiting just a little while longer for the lower-priced, gaming-optimized Radeon RX Vega graphics card. You’ll be glad you did.

On behalf of everyone at AMD and Radeon Technologies Group, thank you to the pioneers of today and the visionaries of tomorrow. To learn more about the Radeon Vega Frontier Edition graphics card, visit http://radeon.com/frontier and we’ll be providing further details by mid-June. I’ll also be hosting an AMA on Reddit this Thursday at 2 pm PST – please join me at reddit.com/r/AMD.

  1. 1 Testing conducted by AMD Performance Labs as of May 15th 2017 with the Radeon™ Vega Frontier Edition graphics card, Intel® Xeon E5 2640v4 2.4Ghz 10C/20T, Dual Socket, 32GB per socket, 64GB Total, Ubuntu 16.04 LTS, ROCm 1.5, and OpenCL 1.2. The Nvidia Tesla P100, was tested on a system comprising of Intel® Xeon E5 2640v4 2.4Ghz 10C/20T, Dual Socket, 32GB per socket, 64GB Total, Ubuntu 16.04 LTS with CuDNN 5.1, Driver 375.39 and Cuda version 8.0.61. When using the DeepBench Benchmark, Radeon™ Vega Frontier Edition completed in 88.7 ms and the Nvidia Tesla P100 completed in 133.1 ms. PC manufacturers may vary configurations, yielding different results. Performance may vary based on use of latest drivers. VG-9
  2. Testing conducted by AMD Performance Labs as of May 12th, 2017 on a test system comprising of Intel E5-1650 v3 @ 3.50 GHz, 16GB DDR4 physical memory, Windows 10 Enterprise 64-bit, Radeon™ RX Vega Frontier Edition / NVIDIA Geforce TitanXp, AMD graphics driver 17.20/NVIDIA graphics driver 382.05 and Samsung 850 PRO 512G SSD. Benchmark Application: SPECViewperf 12.1 catia-04 viewset: Radeon™ RX Vega Frontier Edition score: 135.78, NVIDIA Geforce TitanXp score: 107.29. Performance Differential: (135.78-107.29)/107.29 = ~26.55% faster performance on Radeon™ RX Vega Frontier Edition. PC manufacturers may vary configurations, yielding different results. Performance may vary based on use of latest drivers. RPVG- 001
  3. Testing conducted by AMD Performance Labs as of May 12th, 2017 on a test system comprising of Intel E5-1650 v3 @ 3.50 GHz, 16GB DDR4 physical memory, Windows 10 Enterprise 64-bit, Radeon™ RX Vega Frontier Edition / NVIDIA Geforce TitanXp, AMD graphics driver 17.20/NVIDIA graphics driver 382.05 and Samsung 850 PRO 512G SSD. Benchmark Application: SPECViewperf 12.1 creo-01 viewset: Radeon™ RX Vega Frontier Edition score: 83.94, NVIDIA Geforce TitanXp score: 65.20. Performance Differential: (83.94-65.20)/65.20 = ~28.74% faster performance on Radeon™ RX Vega Frontier Edition. PC manufacturers may vary configurations, yielding different results. Performance may vary based on use of latest drivers. RPVG- 002
  4. Testing conducted by AMD Performance Labs as of May 12th, 2017 on a test system comprising of Intel E5-1650 v3 @ 3.50 GHz, 16GB DDR4 physical memory, Windows 10 Enterprise 64-bit, Radeon™ RX Vega Frontier Edition / NVIDIA Geforce TitanXp, AMD graphics driver 17.20/NVIDIA graphics driver 382.05 and Samsung 850 PRO 512G SSD. Benchmark Application: SPECViewperf 12.1 sw-03 viewset: Radeon™ RX Vega Frontier Edition score: 114.88, NVIDIA Geforce TitanXp score: 67.75. Performance Differential: (114.88-67.75)/67.75 = ~69.56% faster performance on Radeon™ RX Vega Frontier Edition. PC manufacturers may vary configurations, yielding different results. Performance may vary based on use of latest drivers. RPVG- 003

43 thoughts on “Radeon™ Vega Frontier Edition: Empowering the New Generation of Data Scientists, Visualization Professionals, and Digital Pioneers

  1. Great stuff… this is incredible! What an amazing architecture. With great power comes great responsibility! Vega = the very embodiment of this saying 😉

  2. Waao… Its great Card…But it is not for me…I need a gaming card.
    I am just waiting for vega card..

  3. Since you are targeting the card towards Scientists, Engineers, and Product Designers the FP64 values could also have been mentioned.

  4. I’m a Rhino 3D user; and am anxious to upgrade my current system which now employs a Fire Pro W 7000 workstation card. The new addition of Rhino 6 which is currently in WIP status will, I believe include a render engine that would appreciably take advantage of a VEGA base card. Currently, my rendering is done through a McNeal plug-in called Flamingo 3D. This renderer is dependent upon the CPU and the more cores, the faster is will render. Because of this, I am also looking towards a new AMD 16 core/32 thread CPU; my current CPU is an INTEL I7 393K that is overclocked comfortably on a two radiator water based cooling system. I also have 32 gb of ram and tow ssd’s in raid 0, backiing up and cloning everything at the end of each work day to mechanical drives.

    1. I live way out in the country and no mail is delivered I have to travel 70 miles plus to pick up packages It is important to me WHY? because I love AMD and have been purchasing way before the Athlon . I would like a little light to show me when the Vega for Gamer are released. Then I can plan a trip. I’m a 67 yr old gamer . I have the Ryzen 1600X the ASRock Taichi X370 and 16 GB of G Skill Flare X Ram New Rosewill Thor V2 and 1000 Watt Corsairs Power Supply. Sir I’m ready when ever you are .
      Thank you for your time
      Doogie

  5. You say 16 GBytes of memory and also 480 GByte/sec bandwidth. This implies two 8 high stacks of HBM2. Is that correct, or is there some other explantion?

  6. finally after long time AMD the best again congratulations
    I love AMD Because they are always try to make the best at the best price and because reds colors it’s my favorite colors thank you very much and I hope that you always keep make the best

  7. Man, this could be the card I may get for developing! However, I wanted to get into Blender, and it seems that CUDA cards perform better (NVIDIA), so what kind of advantage would I be getting in developer software if I buy an RX Vega FE?

  8. You say Vega Frontier Edition is for “data scientists, immersion engineers, and product designers”.
    What do you mean by “a product designer”?
    I am myself industrial designer or a product designer if you will (I design products like: lightning fixtures, furniture and pretty much any other product or equipment). Among other software I use SolidWorks, 3D studio max, etc. Is this card for “me”? Or you meant someone else by saying product designer?
    I’m familiar with Radeon Pro or Nvidia Quadro, not much with Nvidia Titan Xp (never seen or heard about it aside of gaming).

    I’m looking for a graphic card which I could use at home on my “all-in-one workstation”. I needs to be decent for working as well as gaming etc. I’m 40+ years old so I’m not a hard gamer, just from time to time. Don’t work much at home so doesn’t need to be to professional/expensive, but I’d rather use a pro card for a casual gaming than vice versa. I’ve got 4K monitor and if/when I game I’d like to do comfortably, like I would have need using gaming card. Either this is “Jack of all trades” and something I was waiting for or I got it all wrong…

  9. Will this card provide smooth 4k timeline playback and editing in programs such as Davinci Resolve and Magix Vegas Pro 14?

  10. I waiting for Vega with ryzen they will be beast. Nvidia is all about money. AMD last hope to compete with Big Intel and Nvidia. The fight in technology and financial will be a hard battle. AMD gotta catch up faster than their competitor for the future glory

  11. Would this video card more compatible with all Adobe Products for fast rendering or just working as always?

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