NVIDIA Tesla M2090 vs NVIDIA GRID K140Q
We compared two Professional market GPUs: 6GB VRAM Tesla M2090 and 1024MB VRAM GRID K140Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla M2090 's Advantages
More VRAM (6GB vs 1024GB)
Larger VRAM bandwidth (177.4GB/s vs 28.51GB/s)
320 additional rendering cores
NVIDIA GRID K140Q 's Advantages
Released 1 years and 11 months late
Lower TDP (130W vs 250W)
Score
Benchmark
FP32 (float)
Tesla M2090
+308%
1.332 TFLOPS
GRID K140Q
0.326 TFLOPS
Graphics Card
Jul 2011
Release Date
Jun 2013
Tesla
Generation
GRID
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
-
-
-
-
-
924 MHz
Memory Clock
891 MHz
Memory
6GB
Memory Size
1024MB
GDDR5
Memory Type
DDR3
384bit
Memory Bus
128bit
177.4GB/s
Bandwidth
28.51GB/s
Render Config
-
-
-
16
SM Count
-
512
Shading Units
192
64
TMUs
16
48
ROPs
16
-
-
-
-
-
-
64 KB (per SM)
L1 Cache
16 KB (per SMX)
768 KB
L2 Cache
256 KB
-
-
-
Theoretical Performance
20.83 GPixel/s
Pixel Rate
3.400 GPixel/s
41.66 GTexel/s
Texture Rate
13.60 GTexel/s
-
-
-
1332 GFLOPS
FP32 (float)
326.4 GFLOPS
666.1 GFLOPS
FP64 (double)
13.60 GFLOPS
Board Design
250W
TDP
130W
600 W
Suggested PSU
300 W
No outputs
Outputs
No outputs
1x 6-pin + 1x 8-pin
Power Connectors
-
Graphics Processor
GF110
GPU Name
GK107
-
-
-
Fermi 2.0
Architecture
Kepler
TSMC
Foundry
TSMC
40 nm
Process Size
28 nm
3 billion
Transistors
1.27 billion
520 mm²
Die Size
118 mm²
Graphics Features
12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.1
2.0
CUDA
3.0
5.1
Shader Model
5.1
