NVIDIA Tesla K8 vs Quadro K2200
Comparison of Tesla K8 and Quadro K2200 architecture, market type and release date.
Place in performance rating
Value for money (0-100)
16 September 2014
22 July 2014
Launch price (MSRP)
Tesla K8 and Quadro K2200's general performance parameters such as number of shaders, GPU core clock, manufacturing process, texturing and calculation speed. These parameters indirectly speak of Tesla K8 and Quadro K2200's performance, but for precise assessment you have to consider its benchmark and gaming test results.
Core clock speed
Manufacturing process technology
Power consumption (TDP)
Texture fill rate
103.8 GTexel / s
44.96 GTexel / s
Compatibility, dimensions and requirements
Information on Tesla K8 and Quadro K2200 compatibility with other computer components. Useful when choosing a future computer configuration or upgrading an existing one. For desktop video cards it's interface and bus (motherboard compatibility), additional power connectors (power supply compatibility).
PCIe 2.0 x16
PCIe 2.0 x16
Supplementary power connectors
Parameters of memory installed on Tesla K8 and Quadro K2200: its type, size, bus, clock and resulting bandwidth. Note that GPUs integrated into processors don't have dedicated memory and use a shared part of system RAM.
Maximum RAM amount
Memory bus width
Memory clock speed
160.0 GB / s
80.19 GB / s
Video outputs and ports
Types and number of video connectors present on Tesla K8 and Quadro K2200.
1x DVI, 2x DisplayPort
APIs supported by Tesla K8 and Quadro K2200, sometimes including their particular versions.
Non-gaming benchmarks performance of Tesla K8 and Quadro K2200. Note that overall benchmark performance is measured in points in 0-100 range.
Octane Render OctaneBench
Tesla K8 38 +22.6%
Cryptocurrency mining performance of Tesla K8 and Quadro K2200. Usually measured in megahashes per second.
Bitcoin / BTC (SHA256)
Ethereum / ETH (DaggerHashimoto)
Advantages of NVIDIA Tesla K8
Somewhat newer (16 September 2014 vs 22 July 2014)
Wider memory bus (256 vs 128 bit)
More pipelines (1536 vs 640)
Higher memory bandwidth (160 vs 80.19 GB/s)
Advantages of NVIDIA Quadro K2200
Less power hungry (68 vs 100 watts)
Vulkan (a contemporary API for graphics acceleration, based on now-discontinued Mantle)
So, Tesla K8 or Quadro K2200?
Technical City couldn't decide between NVIDIA Tesla K8 and NVIDIA Quadro K2200. We've got no test results to judge.
Should you still have questions on choice between Tesla K8 and Quadro K2200, ask them in Comments section, and we shall answer.