Home GPU Comparison NVIDIA GRID M6 8Q vs NVIDIA Tesla C2090

NVIDIA GRID M6 8Q vs NVIDIA Tesla C2090

We compared two Professional market GPUs: 8GB VRAM GRID M6 8Q and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GRID M6 8Q 's Advantages
Released 4 years and 1 months late
More VRAM (8GB vs 6GB)
1024 additional rendering cores
Lower TDP (100W vs 250W)
NVIDIA Tesla C2090 's Advantages
Larger VRAM bandwidth (177.4GB/s vs 160.4GB/s)

Score

Benchmark

FP32 (float)
GRID M6 8Q +66%
2.218 TFLOPS
Tesla C2090
1.332 TFLOPS
VS

Graphics Card

Aug 2015
Release Date
Jul 2011
GRID
Generation
Tesla
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 2.0 x16

Clock Speeds

-
-
-
-
-
-
1253 MHz
Memory Clock
924 MHz

Memory

8GB
Memory Size
6GB
GDDR5
Memory Type
GDDR5
256bit
Memory Bus
384bit
160.4GB/s
Bandwidth
177.4GB/s

Render Config

-
-
-
-
SM Count
16
1536
Shading Units
512
96
TMUs
64
64
ROPs
48
-
-
-
-
-
-
48 KB (per SMM)
L1 Cache
64 KB (per SM)
2 MB
L2 Cache
768 KB
-
-
-

Theoretical Performance

46.21 GPixel/s
Pixel Rate
20.83 GPixel/s
69.31 GTexel/s
Texture Rate
41.66 GTexel/s
-
-
-
2.218 TFLOPS
FP32 (float)
1332 GFLOPS
69.31 GFLOPS
FP64 (double)
666.1 GFLOPS

Board Design

100W
TDP
250W
300 W
Suggested PSU
600 W
No outputs
Outputs
No outputs
None
Power Connectors
-

Graphics Processor

GM204
GPU Name
GF110
GM204-995-A1
GPU Variant
-
Maxwell 2.0
Architecture
Fermi 2.0
TSMC
Foundry
TSMC
28 nm
Process Size
40 nm
5.2 billion
Transistors
3 billion
398 mm²
Die Size
520 mm²

Graphics Features

12 (12_1)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
1.1
1.3
Vulkan
N/A
5.2
CUDA
2.0
6.4
Shader Model
5.1

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