AMD FirePro S-series GPUs for Virtualization

For companies considering centralized computing solutions, AMD FirePro™ S-Series server cards equipped with Multiuser GPU (MxGPU) technology provides a safe, easy and cost effective way to virtualize the enterprise environment.
With the industry’s first hardware-based virtualized GPU solution, organizations can virtualize almost any type of application, from simple everyday office programs to complex, workstation class software. Users will have access to a full-featured, virtualized GPU with support for accelerated OpenCL™ GPU compute, and other graphics APIs such as DirectX® and OpenGL.

Easy to Set Up, Easy to Use

The AMD Multiuser GPU works with hypervisors to provide ease of installation. IT managers and system administrators setting up a central server within an enterprise environment can easily implement and configure the AMD Multiuser GPU.

Simplified Product Maintenance and Support

Our virtualization solution is easy to scale to meet the needs of a growing enterprise. Simply add users and go. IT managers and system administrators do not have to worry about entering into a technology license or paying additional fees whenever a new user is added.

Outstanding Performance Per Dollar

With users not having to worry about entering into a technology license or paying any fees, enterprises get the full economic benefit of VDI with AMD FirePro S7150 or S7150 x2 Server GPUs.

Full-featured, Virtual GPU

Users will have access to native AMD display drivers for OpenGL, DirectX® and OpenCL™ acceleration, enabling them to work as they need. Anything a user was able to do on a local machine, they can now do in a virtualized environment using AMD’s new Multiuser GPU technology.

Solution Comparison

Our virtualization solution is easy to scale to meet the needs of a growing enterprise. Simply add users and go. IT managers and system administrators do not have to worry about entering into a technology license or paying additional fees whenever a new user is added.

1) The AMD FirePro S9300 x2 GPU is the first professional dual GPU compute card with HBM memory available as of March 31st, 2016. FP-186 2) AMD internal testing as of March 2016. System configurations may vary, yielding different results. The AMD FirePro S9300 x2 delivers up to 13.9 TFLOPS peak single-precision compute performance, while the NVIDIA Tesla M40 delivers up to 7 TFLOPS peak single-precision performance. For AMD, calculation based on a formula using a combination of shader units and clock speeds. For Nvidia, source of data as of March 18, 2016: http://www.nvidia.com/object/tesla-m40.html FP-187. 3) AMD internal testing as of March 2016. System configurations may vary, yielding different results. The AMD FirePro S9300 x2 delivers 1024 GB/s of aggregate memory bandwidth, while the NVIDIA Tesla M40 delivers 288 GB/s of memory bandwidth, and the NVIDIA Tesla K80 delivers 480 GB/s aggregate memory bandwidth. For AMD, calculation based on a formula using a combination of shader units and clock speeds. For Nvidia, source of data as of March 18, 2016: http://www.nvidia.com/object/tesla-k80.html FP-188 4) AMD FirePro™ S9150 max power is 235W and delivers up to 2.53 TFLOPS peak double and up to 5.07 peak single precision floating point performance. Nvidia’s highest performing server cards in the market as of June 2014 are the Tesla K40, max power of 235W, with up to 1.43 TFLOPS peak double and up to 4.29 peak single, and the K10, max power 225W, with up to 4.58 TFLOPS peak single and 190 GFLOPS peak double precision. Visit http://www.nvidia.com/object/tesla-servers.html for Nvidia product specs. FP-97 5) AMD internal testing as of March 2016. System configurations may vary, yielding different results. The AMD FirePro S9300 x2 delivers 13.9 TFLOPS of peak single-precision compute performance. As of March 18th, 2016, NVIDIA’s fastest Tesla board is the Tesla K80, which delivers up to 8.73 TFLOPS of single-precision compute performance. For AMD, calculation based on a formula using a combination of shader units and clock speeds. For Nvidia, source of data as of March 18, 2016 - http://www.nvidia.com/object/tesla-k80.html FP-189 © 2016 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD arrow logo and combinations thereof, are trademarks of Advanced Micro Devices, Inc. All other product names are for reference only and may be trademarks of their respective owners.