GPUs EUC Datacenter comparison & reviews

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Pros
  • + + This GPU is designed for blade systems and high performance graphical environments.
  • + Not Specified
  • + Good performance in single user scenario, and multi-user XenApp scenario.
  • + Proven technology in consumer market.
Cons
  • - - Solution (Hardware + Software) is perceived as expensive.
  • - Not Specified
  • - 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)
User Reviews
Details (by section) Expand All Data
General
60%
86%
58%
Content
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
Solution Summary
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. 
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.
Community Specialist
TeamRGE (Patrick, Jits, Ruben)
TeamRGE (Patrick, Jits, Ruben)
TeamRGE (Patrick, Jits, Ruben)
Support Status
Product is supported (Not End Of Life )
Long-term branch maintenance
Maturity
Introduction date
Proven Technology
Public enterprise references in Europe
Public enterprise references in US
Large community resource around GPU Virtualization - Datacenter
Solution Pricing
Hardware
Contact vendor/OEM
Contact vendor/OEM
Software
Contact vendor/OEM
Support
Contact vendor/OEM
Education pricing
MSP pricing
Named User
Concurrent User
VM based
Host based
GPU board based
Free Trial software
Hardware
60%
86%
58%
Product Specification
GPU Model
GM204 - Maxwell
GPUs per board
Transistors
Total board power (W)
GPU Clock - Base (MHz)
GPU Clock - Idle (MHz)
NVIDIA CUDA cores
Max. users
PCI Express interface
P0: Gen3 16 lanes, 8.0 Gbps
P8: Gen1 16 lanes, 2.5 Gbps
Board design
MXM (blade servers)
Power connectors
Thermal Solution
Memory Specifications
Memory Clocks - Performance (MHz)
Memory Clocks - Idle (MHz)
Memory Size
Memory I/O
Memory configuration
16 pcs 256M × 16 GDDR5
Memory bandwidth
Thermal Specifications
GPU shutdown temperature (°C)
GPU slowdown temperature (°C)
Performance
Pixel Fill rate
Texture Fill rate
SPFP Performance