NVIDIA Tesla C2090 vs NVIDIA GRID M60 8Q
We compared two Professional market GPUs: 6GB VRAM Tesla C2090 and 8GB VRAM GRID M60 8Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Tesla C2090 's Advantages
Larger VRAM bandwidth (177.4GB/s vs 160.4GB/s)
NVIDIA GRID M60 8Q 's Advantages
Released 4 years and 1 months late
Boost Clock1178MHz
More VRAM (8GB vs 6GB)
1536 additional rendering cores
Lower TDP (225W vs 250W)
Score
Benchmark
FP32 (float)
Tesla C2090
1.332 TFLOPS
GRID M60 8Q
+262%
4.825 TFLOPS
Graphics Card
Jul 2011
Release Date
Aug 2015
Tesla
Generation
GRID
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 3.0 x16
Clock Speeds
-
Base Clock
557 MHz
-
Boost Clock
1178 MHz
924 MHz
Memory Clock
1253 MHz
Memory
6GB
Memory Size
8GB
GDDR5
Memory Type
GDDR5
384bit
Memory Bus
256bit
177.4GB/s
Bandwidth
160.4GB/s
Render Config
-
-
-
16
SM Count
-
512
Shading Units
2048
64
TMUs
128
48
ROPs
64
-
-
-
-
-
-
64 KB (per SM)
L1 Cache
48 KB (per SMM)
768 KB
L2 Cache
2 MB
-
-
-
Theoretical Performance
20.83 GPixel/s
Pixel Rate
75.39 GPixel/s
41.66 GTexel/s
Texture Rate
150.8 GTexel/s
-
-
-
1332 GFLOPS
FP32 (float)
4.825 TFLOPS
666.1 GFLOPS
FP64 (double)
150.8 GFLOPS
Board Design
250W
TDP
225W
600 W
Suggested PSU
550 W
No outputs
Outputs
No outputs
-
Power Connectors
1x 8-pin
Graphics Processor
GF110
GPU Name
GM204
-
-
-
Fermi 2.0
Architecture
Maxwell 2.0
TSMC
Foundry
TSMC
40 nm
Process Size
28 nm
3 billion
Transistors
5.2 billion
520 mm²
Die Size
398 mm²
Graphics Features
12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
1.1
OpenCL
3.0
N/A
Vulkan
1.3
2.0
CUDA
5.2
5.1
Shader Model
6.4
