GPUs EUC Datacenter comparison & reviews

Summary
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Analysis expand by Team RGE by Team RGE by Team RGE
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  • Fully Supported
  • Limitation
  • Not Supported
  • Information Only
Pros
  • + The GPU is designed for deep learning environments and optional for high performance graphical environments.
  • + 1st Hardware based virtualized GPU solution, using SR-IOV FLR (Function Level Reset) preventing rogue guest from crashing the entire system.
  • + Predictable performance
  • + Good performance in single user scenario, and multi-user XenApp scenario.
  • + Proven technology in consumer market.
Cons
  • - Solution (Hardware + Software) is perceived as expensive.
  • - Documentatio and information is dated.
  • - Slow adoption of (new) OEMs, Guest OS and Virtual Infrastructure platforms.
  • - No community and limited visibility in customer adoption.
  • - Limited use-case, good performance in single user scenario, Limited server/OEM support.
  • - Limited Virtual Client Computing support.
  • - No community, limited information.
  • - Dated APU (2015)
  Content  
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Content creator
This content is created by TeamRGE members: Patrick van den Born, Jits Langedijk and Ruben Spruijt
This content is created by TeamRGE members: Patrick van den Born, Jits Langedijk and Ruben Spruijt
This content is created by TeamRGE members: Patrick van den Born, Jits Langedijk and Ruben Spruijt
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Vendor description
NVIDIA is an American technology company based in Santa Clara, California. It delivers the engines for todays Artificial Technology. NVIDIA designs graphics processing units (GPUs) for a variety of solutions, e.g. AI, Gaming, Cryptocurrency, and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Since 2014 NVIDIA has shifted to become a platform company focused on five markets – AI, Gaming, Professional Visualization, Datacenters and Automotive. 
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Product overview
All the features and functions are based on NVIDIA GRID 5.0. NVIDIA GRID extends the power of GPU technology to deliver virtual applications, desktops and workstations for every user.
The AMD FirePro family of hardware-virtualized GPUs with Multiuser GPU (MxGPU) technology delivers a simple, secure and cost effective solution for high performance virtual desktops and workstations.
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Community Specialist
TeamRGE (Patrick, Jits, Ruben)
TeamRGE (Patrick, Jits, Ruben)
TeamRGE (Patrick, Jits, Ruben)
  Support Status  
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Product is supported (Not End Of Life )
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Long-term branch maintenance
Yes
  Maturity  
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Introduction date
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Proven Technology
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Public enterprise references in Europe
No
No
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Public enterprise references in US
No
No
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Large community resource around GPU Virtualization - Datacenter
  Solution Pricing  
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Hardware
Contact vendor/OEM
Contact vendor/OEM
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Software
No
No
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Support
N/A
N/A
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Education pricing
N/A
N/A
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MSP pricing
N/A
N/A
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Named User
N/A
N/A
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Concurrent User
Yes
N/A
N/A
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VM based
N/A
N/A
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Host based
N/A
N/A
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GPU board based
N/A
N/A
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Free Trial software
Yes
N/A
Hardware expand
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  Product Specification  
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GPU Model
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GPUs per board
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Transistors
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Total board power (W)
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GPU Clock - Base (MHz)
885 Mhz (1531 Mhz Boost)
800MHz
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GPU Clock - Idle (MHz)
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NVIDIA CUDA cores
N/A
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Max. users
8
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PCI Express interface
PCI Express Gen3 x16 system interface
PCI Express Gen3 x16 system interface
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Board design
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Power connectors
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Thermal Solution
  Memory Specifications  
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Memory Clocks - Performance (MHz)
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Memory Clocks - Idle (MHz)
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Memory Size
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Memory I/O
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Memory configuration
8 pcs 256M × 32 GDDR5
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Memory bandwidth
  Thermal Specifications  
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GPU shutdown temperature (°C)
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GPU slowdown temperature (°C)
  Performance  
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Pixel Fill rate
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Texture Fill rate
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SPFP Performance
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Performance per W
  Encoders  
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H.264 - supported
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H.264 - amount per interface board
2
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H.265 - supported
Yes
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H.265 - amount per interface board
  Decoders  
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H.264 - amount per interface board
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H.265 - amount per interface board
  Server vendor support  
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Hardware Compatibility List
Yes
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  Hypervisor support  
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Microsoft Hyper-V
Yes
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Citrix XenServer
Yes
No
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Nutanix AHV
Yes
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KVM
Yes
No
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Huawei UVP
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VMware ESX
Yes
Yes
  Monitoring GPU performance  
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Integration with Citrix XenCenter
No
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integration with VMware vCenter
Yes
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Integration with Nutanix PRISM
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Public SDK/API available
  Virtual Client Computing  
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Citrix XenDesktop
Yes
No
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Citrix XenApp
Yes
Yes
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Microsoft RDSH
Yes
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Microsoft RDVH
Yes
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VMware Horizon
Yes
Yes
Yes
  Guest OS  
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Microsoft Windows 7
Yes
Yes
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Microsoft Windows 8
Yes
No
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Microsoft Windows 10 - 1511
Yes
Yes
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Microsoft Windows 10 - 1607
Yes
Yes
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Microsoft Windows 10 - 1703
Yes
Yes
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Windows Server 2012R2
Yes
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Windows Server 2016
Yes
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Linux - Ubuntu
Yes
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Linux - SLED/SLES
Yes
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Linux - Red Hat Enterprise
Yes
  API support  
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DirectX 12 (2015)
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DirectX 11.2 (2013)
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DirectX 11.1 (2012)
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DirectX 10 or lower
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OpenGL 4.6 (2017)
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OpenGL 4.5 (2014)
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OpenGL 4.4 (2013)
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OpenGL 4.3 (2012)
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OpenGL 4.2 or lower
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OpenCL 2.0
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Shader Model 5.0
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Vulkan 1.0
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CUDA
Yes
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OpenACC
Various expand
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  GPU functions  
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Pass-Through support
Yes
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BareMetal Support
Yes
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Dedicated GPU (cores)
Yes
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Dedicated GPU (Frame buffer)
Yes
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Shared GPU (GPU cores)
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Max. Frame buffer (vRAM) per VM
8 GB
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Min Frame buffer (vRAM) per VM
1 GB
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Graphics Mode
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Compute mode
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Max. density per GPU
8
16
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Max. density per GPU board
8
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Anti-aliasing
Yes
  Display  
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Max. amount of virtual displays
4
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Max. resolution per display
4096x2160 (4K DCI)
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Max. vGPUs per board
8
N/A
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Max. vGPUs per GPU
8
N/A
Applications expand
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  Use-case  
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Office Workers (LOB, Office, browsers)
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Power User - Professional Graphics
Yes
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Power User - Designer
  Certification  
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Adobe
Yes
No
No
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Ansys
Yes
No
No
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Autodesk
Yes
No
No
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Bently
Yes
No
No
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ESRI
Yes
No
No
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HIS
Yes
No
No
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PTC
Yes
No
No
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Siemens PLM
Yes
No
No
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Solidworks
Yes
No
No
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Synerscope
Yes
No
No
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Quadro support
Yes

Matrix Score

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